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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Analyzing and optimizing technical and business processes	- Analyzing and defining business processes 1. Cost management and optimization 2. Business KPIs and metrics 3. Stakeholder communication - Analyzing and defining technical processes 1. Incident management and troubleshooting 2. CI/CD pipeline design 3. Software development lifecycle (SDLC)
Designing for security and compliance	- Designing for security 1. Network security 2. Data security and encryption 3. Identity and Access Management (IAM) 4. Application security - Designing for compliance 1. Regulatory and compliance requirements 2. Data residency and sovereignty 3. Audit logging and monitoring
Managing implementation	- Advising development/operation team(s) to ensure successful deployment 1. Testing and validation 2. Application development best practices 3. Deployment strategies - Interacting with Google Cloud programmatically 1. APIs and client libraries 2. Cloud SDK and gcloud CLI 3. Infrastructure as Code (IaC)
Designing and planning a cloud solution architecture	- Designing network, storage, and compute resources 1. Compute engine selection and configuration 2. GKE cluster and workload design 3. Network design including load balancing and firewall rules 4. Storage options and data lifecycle management - Creating a migration plan 1. Refactoring and rearchitecting applications 2. Identifying workloads for migration 3. Planning data migration - Designing solution infrastructure that meets business requirements 1. Data and storage architecture 2. Integration with existing systems 3. Business use cases and product strategy 4. Networking and compute resources 5. Cost optimization 6. Migration planning - Enabling future cloud technology 1. Implementing future-proof architectures 2. Designing for scalability and elasticity
Ensuring solution and operations reliability	- Monitoring/logging/profiling/alerting solution 1. Cloud Monitoring and Cloud Logging 2. Performance profiling and tracing 3. Error reporting and alerting - Deployment and release management 1. Release management and versioning 2. Deployment strategies and rollback - Assisting with support 1. Incident response and troubleshooting 2. Capacity planning and scaling - Evaluating quality control measures
Managing and provisioning a solution infrastructure	- Configuring individual storage systems 1. Cloud Storage configuration 2. Cloud SQL and Spanner 3. Datastore and Bigtable - Configuring network topologies 1. VPC design and peering 2. Private access and VPN configuration 3. Hybrid and multi-cloud connectivity - Configuring compute systems 1. Compute Engine configuration 2. Cloud Run and Cloud Functions 3. GKE configuration and management

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最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題 (Q116-Q121):

問題 #116
Case Study: 6 - TerramEarth
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week.
- Support the dealer network with more data on how their customers use their equipment to better
position new products and services
- Have the ability to partner with different companies - especially with seed and fertilizer suppliers
in the fast-growing agricultural business - to create compelling joint offerings for their customers.
Technical Requirements
- Expand beyond a single datacenter to decrease latency to the American Midwest and east
coast.
- Create a backup strategy.
- Increase security of data transfer from equipment to the datacenter.
- Improve data in the data warehouse.
- Use customer and equipment data to anticipate customer needs.
Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
- Windows Server 2008 R2
- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
- Off the shelf application. License tied to number of physical CPUs
- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
- A single PostgreSQL server
- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.
You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?

A. Replace the existing data warehouse with BigQuery. Use federated data sources.
B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
C. Replace the existing data warehouse with BigQuery. Use table partitioning.
D. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.

答案：C

解題說明：
1. BigQuery does not guarantee data consistency for external data sources. Changes to the underlying data while a query is running can result in unexpected behavior.
2. Query performance for external data sources may not be as high as querying data in a native BigQuery table.

問題 #117
The current Dress4win system architecture has high latency to some customers because it is located in one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it's system architecture to multiple locations when Google cloud platform.
Which approach should they use?

A. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.
B. Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.
C. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.
D. Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.

答案：B

問題 #118
Your development team has installed a new Linux kernel module on the batch servers in Google Compute Engine (GCE) virtual machines (VMs) to speed up the nightly batch process. Two days after the installation,
50% of web application deployed in the same
nightly batch run. You want to collect details on the failure to pass back to the development team. Which three actions should you take? Choose 3 answers

A. Use Stackdriver Logging to search for the module log entries.
B. Identify whether a live migration event of the failed server occurred, using in the activity log.
C. Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.
D. Read the debug GCE Activity log using the API or Cloud Console.
E. Use gcloud or Cloud Console to connect to the serial console and observe the logs.
F. Export a debug VM into an image, and run the image on a local server where kernel log messages will be displayed on the native screen.

答案：A,C,E

解題說明：
https://www.flexera.com/blog/cloud/2013/12/google-compute-engine-live-migration-passes-the-test/
"With live migration, the virtual machines are moved without any downtime or noticeable service degradation"

問題 #119
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day.
TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment

TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without
increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use
their equipment IP better position new products and services.
- Have the ability to partner with different companies-especially with
seed and fertilizer suppliers in the fast-growing agricultural
business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
Your agricultural division is experimenting with fully autonomous vehicles. You want your architecture to promote strong security during vehicle operation.
Which two architectures should you consider? (Choose two.)

A. Enclose the vehicle's drive electronics in a Faraday cage to isolate chips.
B. Require IPv6 for connectivity to ensure a secure address space.
C. Use a trusted platform module (TPM) and verify firmware and binaries on boot.
D. Use multiple connectivity subsystems for redundancy.
E. Use a functional programming language to isolate code execution cycles.
F. Treat every micro service call between modules on the vehicle as untrusted.

答案：C,F

問題 #120
Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?

A. A Google Compute Engine instance with a VPN server installed connected to the data center network
B. Google Cloud Dedicated Interconnect
C. Google Cloud VPN connected to the data center network
D. A NAT and TLS translation gateway installed on-premises

答案：B

解題說明：
Google Cloud Dedicated Interconnect provides direct physical connections and RFC 1918 communication between your on-premises network and Google's network. Dedicated Interconnect enables you to transfer large amounts of data between networks, which can be more cost effective than purchasing additional bandwidth over the public Internet or using VPN tunnels.
Benefits:
Traffic between your on-premises network and your VPC network doesn't traverse the public

Internet. Traffic traverses a dedicated connection with fewer hops, meaning there are less points of failure where traffic might get dropped or disrupted.
Your VPC network's internal (RFC 1918) IP addresses are directly accessible from your on-

premises network. You don't need to use a NAT device or VPN tunnel to reach internal IP addresses. Currently, you can only reach internal IP addresses over a dedicated connection.
To reach Google external IP addresses, you must use a separate connection.
You can scale your connection to Google based on your needs. Connection capacity is

delivered over one or more 10 Gbps Ethernet connections, with a maximum of eight connections (80 Gbps total per interconnect).
The cost of egress traffic from your VPC network to your on-premises network is reduced. A

dedicated connection is generally the least expensive method if you have a high-volume of traffic to and from Google's network.
References: https://cloud.google.com/interconnect/docs/details/dedicated

問題 #121
......

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[{:section_type=>"html", :content=>"最新Professional-Cloud-Architect題庫資源, Professional-Cloud-Architect考試證照, Professional-Cloud-Architect考試, Professional-Cloud-Architect最新題庫資源, Professional-Cloud-Architect考題資訊\n<a href=\"https://www.newdumpspdf.com/Professional-Cloud-Architect-exam-new-dumps.html\"><img src=\"https://ts2.mm.bing.net/th?w=500&amp;q=Google%20Certified%20Professional%20-%20Cloud%20Architect%20(GCP)\"></a>\n順便提一下，可以從雲存儲中下載NewDumps Professional-Cloud-Architect考試題庫的完整版：<a href=\"https://drive.google.com/open?id=1OEkTANnTqXn-biil7DyX0HarRTm0r9ha\" target=\"_blank\">https://drive.google.com/open?id=1OEkTANnTqXn-biil7DyX0HarRTm0r9ha</a>選擇參加Google Professional-Cloud-Architect 認證考試是一個明智的選擇，因為有了Google Professional-Cloud-Architect認證證書後，你的工資和職位都會有所提升，生活水準就會相應的提供。但是通過Google Professional-Cloud-Architect 認證考試不是很容易的，需要花很多時間和精力掌握好相關專業知識。NewDumps是一個制訂Google <a href=\"https://tw.fast2test.com/Professional-Cloud-Architect-premium-file.html\">Professional-Cloud-Architect</a> 認證考試培訓方案的專業IT培訓網站。你可以先在我們的網站上免費下載部分部分關於Google Professional-Cloud-Architect 認證考試的練習題和答案作為免費嘗試，以便你可以檢驗我們的可靠性。一般，試用NewDumps的產品後，你會對我們的產品很有信心的。<h2>Google Professional-Cloud-Architect Exam Syllabus Topics:</h2><table class=\"table-bordered table-hover table mytable table-responsive\"><tbody>\n<tr>\n<th>Section</th>\n<th>Objectives</th>\n</tr>\n<tr>\n<td>Analyzing and optimizing technical and business processes</td>\n<td>- Analyzing and defining business processes <ul>\n<li>1. Cost management and optimization</li>\n<li>2. Business KPIs and metrics</li>\n<li>3. Stakeholder communication</li>\n</ul>- Analyzing and defining technical processes <ul>\n<li>1. Incident management and troubleshooting</li>\n<li>2. CI/CD pipeline design</li>\n<li>3. Software development lifecycle (SDLC)</li>\n</ul>\n</td>\n</tr>\n<tr>\n<td>Designing for security and compliance</td>\n<td>- Designing for security <ul>\n<li>1. Network security</li>\n<li>2. Data security and encryption</li>\n<li>3. Identity and Access Management (IAM)</li>\n<li>4. Application security</li>\n</ul>- Designing for compliance <ul>\n<li>1. Regulatory and compliance requirements</li>\n<li>2. Data residency and sovereignty</li>\n<li>3. Audit logging and monitoring</li>\n</ul>\n</td>\n</tr>\n<tr>\n<td>Managing implementation</td>\n<td>- Advising development/operation team(s) to ensure successful deployment <ul>\n<li>1. Testing and validation</li>\n<li>2. Application development best practices</li>\n<li>3. Deployment strategies</li>\n</ul>- Interacting with Google Cloud programmatically <ul>\n<li>1. APIs and client libraries</li>\n<li>2. Cloud SDK and gcloud CLI</li>\n<li>3. Infrastructure as Code (IaC)</li>\n</ul>\n</td>\n</tr>\n<tr>\n<td>Designing and planning a cloud solution architecture</td>\n<td>- Designing network, storage, and compute resources <ul>\n<li>1. Compute engine selection and configuration</li>\n<li>2. GKE cluster and workload design</li>\n<li>3. Network design including load balancing and firewall rules</li>\n<li>4. Storage options and data lifecycle management</li>\n</ul>- Creating a migration plan <ul>\n<li>1. Refactoring and rearchitecting applications</li>\n<li>2. Identifying workloads for migration</li>\n<li>3. Planning data migration</li>\n</ul>- Designing solution infrastructure that meets business requirements <ul>\n<li>1. Data and storage architecture</li>\n<li>2. Integration with existing systems</li>\n<li>3. Business use cases and product strategy</li>\n<li>4. Networking and compute resources</li>\n<li>5. Cost optimization</li>\n<li>6. Migration planning</li>\n</ul>- Enabling future cloud technology <ul>\n<li>1. Implementing future-proof architectures</li>\n<li>2. Designing for scalability and elasticity</li>\n</ul>\n</td>\n</tr>\n<tr>\n<td>Ensuring solution and operations reliability</td>\n<td>- Monitoring/logging/profiling/alerting solution <ul>\n<li>1. Cloud Monitoring and Cloud Logging</li>\n<li>2. Performance profiling and tracing</li>\n<li>3. Error reporting and alerting</li>\n</ul>- Deployment and release management <ul>\n<li>1. Release management and versioning</li>\n<li>2. Deployment strategies and rollback</li>\n</ul>- Assisting with support <ul>\n<li>1. Incident response and troubleshooting</li>\n<li>2. Capacity planning and scaling</li>\n</ul>- Evaluating quality control measures \n</td>\n</tr>\n<tr>\n<td>Managing and provisioning a solution infrastructure</td>\n<td>- Configuring individual storage systems <ul>\n<li>1. Cloud Storage configuration</li>\n<li>2. Cloud SQL and Spanner</li>\n<li>3. Datastore and Bigtable</li>\n</ul>- Configuring network topologies <ul>\n<li>1. VPC design and peering</li>\n<li>2. Private access and VPN configuration</li>\n<li>3. Hybrid and multi-cloud connectivity</li>\n</ul>- Configuring compute systems <ul>\n<li>1. Compute Engine configuration</li>\n<li>2. Cloud Run and Cloud Functions</li>\n<li>3. GKE configuration and management</li>\n</ul>\n</td>\n</tr>\n</tbody></table><a href=\"https://www.newdumpspdf.com/Professional-Cloud-Architect-exam-new-dumps.html\" style=\"background-color: #d2322d; color: #FFFFFF; text-decoration: none; padding: 10px; font-weight: bold;\" target=\"_blank\">&gt;&gt; 最新Professional-Cloud-Architect題庫資源 &lt;&lt;</a><h2>專業的最新Professional-Cloud-Architect題庫資源和資格考試中的領先提供商和最新更新的Professional-Cloud-Architect考試證照</h2>NewDumps的關於Google Professional-Cloud-Architect 認證考試的針對性練習題卻是很受歡迎的。NewDumps的資料不僅能讓你獲取知識和很多相關經驗，還可以使你為考試做充分的準備。雖然Google <a href=\"https://www.pdfexamdumps.com/Professional-Cloud-Architect_valid-braindumps.html\">Professional-Cloud-Architect認證考試</a>很難，但是通過做NewDumps的練習題後，你會很有信心的參加考試。放心地選擇NewDumps的高效練習題吧，為Google Professional-Cloud-Architect 認證考試做一個最充分的準備。<h2>最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題 (Q116-Q121):</h2>問題 #116 Case Study: 6 - TerramEarth Company Overview TerramEarth manufactures heavy equipment for the mining and agricultural industries. About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive. Solution Concept There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles. Existing Technical Environment TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old. With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts. Business Requirements - Decrease unplanned vehicle downtime to less than 1 week. - Support the dealer network with more data on how their customers use their equipment to better position new products and services - Have the ability to partner with different companies - especially with seed and fertilizer suppliers in the fast-growing agricultural business - to create compelling joint offerings for their customers. Technical Requirements - Expand beyond a single datacenter to decrease latency to the American Midwest and east coast. - Create a backup strategy. - Increase security of data transfer from equipment to the datacenter. - Improve data in the data warehouse. - Use customer and equipment data to anticipate customer needs. Application 1: Data ingest A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse. Compute: - Windows Server 2008 R2 - 16 CPUs - 128 GB of RAM - 10 TB local HDD storage Application 2: Reporting An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time. Compute: - Off the shelf application. License tied to number of physical CPUs - Windows Server 2008 R2 - 16 CPUs - 32 GB of RAM - 500 GB HDD Data warehouse: - A single PostgreSQL server - RedHat Linux - 64 CPUs - 128 GB of RAM - 4x 6TB HDD in RAID 0 Executive Statement Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?<ul>\n<li>A. Replace the existing data warehouse with BigQuery. Use federated data sources.</li>\n<li>B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.</li>\n<li>C. Replace the existing data warehouse with BigQuery. Use table partitioning.</li>\n<li>D. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.</li>\n</ul>答案：C解題說明： 1. BigQuery does not guarantee data consistency for external data sources. Changes to the underlying data while a query is running can result in unexpected behavior. 2. Query performance for external data sources may not be as high as querying data in a native BigQuery table. 問題 #117 The current Dress4win system architecture has high latency to some customers because it is located in one data center. As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it's system architecture to multiple locations when Google cloud platform. Which approach should they use?<ul>\n<li>A. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.</li>\n<li>B. Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.</li>\n<li>C. Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.</li>\n<li>D. Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.</li>\n</ul>答案：B 問題 #118 Your development team has installed a new Linux kernel module on the batch servers in Google Compute Engine (GCE) virtual machines (VMs) to speed up the nightly batch process. Two days after the installation, 50% of web application deployed in the same nightly batch run. You want to collect details on the failure to pass back to the development team. Which three actions should you take? Choose 3 answers<ul>\n<li>A. Use Stackdriver Logging to search for the module log entries.</li>\n<li>B. Identify whether a live migration event of the failed server occurred, using in the activity log.</li>\n<li>C. Adjust the Google Stackdriver timeline to match the failure time, and observe the batch server metrics.</li>\n<li>D. Read the debug GCE Activity log using the API or Cloud Console.</li>\n<li>E. Use gcloud or Cloud Console to connect to the serial console and observe the logs.</li>\n<li>F. Export a debug VM into an image, and run the image on a local server where kernel log messages will be displayed on the native screen.</li>\n</ul>答案：A,C,E解題說明： https://www.flexera.com/blog/cloud/2013/12/google-compute-engine-live-migration-passes-the-test/ \"With live migration, the virtual machines are moved without any downtime or noticeable service degradation\" 問題 #119 Case Study: 2 - TerramEarth Case Study Company Overview TerramEarth manufactures heavy equipment for the mining and agricultural industries: About 80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive. Company Background TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family. TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator. Solution Concept There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second. Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced. The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules. Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day. TerramEarth collects a total of about 9 TB/day from these connected vehicles. Existing Technical Environment <img style=\"max-width: 100%;\" src=\"https://www.newdumpspdf.com/uploads/imgs/Professional-Cloud-Architect-1227ffef9a17db942561baec34b21f3c.jpg\"> TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old. With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts. Business Requirements - Decrease unplanned vehicle downtime to less than 1 week, without increasing the cost of carrying surplus inventory - Support the dealer network with more data on how their customers use their equipment IP better position new products and services. - Have the ability to partner with different companies-especially with seed and fertilizer suppliers in the fast-growing agricultural business-to create compelling joint offerings for their customers CEO Statement We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020. CTO Statement Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations. Your agricultural division is experimenting with fully autonomous vehicles. You want your architecture to promote strong security during vehicle operation. Which two architectures should you consider? (Choose two.)<ul>\n<li>A. Enclose the vehicle's drive electronics in a Faraday cage to isolate chips.</li>\n<li>B. Require IPv6 for connectivity to ensure a secure address space.</li>\n<li>C. Use a trusted platform module (TPM) and verify firmware and binaries on boot.</li>\n<li>D. Use multiple connectivity subsystems for redundancy.</li>\n<li>E. Use a functional programming language to isolate code execution cycles.</li>\n<li>F. Treat every micro service call between modules on the vehicle as untrusted.</li>\n</ul>答案：C,F 問題 #120 Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?<ul>\n<li>A. A Google Compute Engine instance with a VPN server installed connected to the data center network</li>\n<li>B. Google Cloud Dedicated Interconnect</li>\n<li>C. Google Cloud VPN connected to the data center network</li>\n<li>D. A NAT and TLS translation gateway installed on-premises</li>\n</ul>答案：B解題說明： Google Cloud Dedicated Interconnect provides direct physical connections and RFC 1918 communication between your on-premises network and Google's network. Dedicated Interconnect enables you to transfer large amounts of data between networks, which can be more cost effective than purchasing additional bandwidth over the public Internet or using VPN tunnels. Benefits: Traffic between your on-premises network and your VPC network doesn't traverse the public <img style=\"max-width: 100%;\" src=\"https://www.newdumpspdf.com/uploads/imgs/Professional-Cloud-Architect-79812f5a667d13cdab86b1d0132ec145.jpg\"> Internet. Traffic traverses a dedicated connection with fewer hops, meaning there are less points of failure where traffic might get dropped or disrupted. Your VPC network's internal (RFC 1918) IP addresses are directly accessible from your on- <img style=\"max-width: 100%;\" src=\"https://www.newdumpspdf.com/uploads/imgs/Professional-Cloud-Architect-79812f5a667d13cdab86b1d0132ec145.jpg\"> premises network. You don't need to use a NAT device or VPN tunnel to reach internal IP addresses. Currently, you can only reach internal IP addresses over a dedicated connection. To reach Google external IP addresses, you must use a separate connection. You can scale your connection to Google based on your needs. Connection capacity is <img style=\"max-width: 100%;\" src=\"https://www.newdumpspdf.com/uploads/imgs/Professional-Cloud-Architect-79812f5a667d13cdab86b1d0132ec145.jpg\"> delivered over one or more 10 Gbps Ethernet connections, with a maximum of eight connections (80 Gbps total per interconnect). The cost of egress traffic from your VPC network to your on-premises network is reduced. A <img style=\"max-width: 100%;\" src=\"https://www.newdumpspdf.com/uploads/imgs/Professional-Cloud-Architect-79812f5a667d13cdab86b1d0132ec145.jpg\"> dedicated connection is generally the least expensive method if you have a high-volume of traffic to and from Google's network. 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