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Microsoft DP-420 Exam Syllabus Topics:
| Section |
Weight |
Objectives |
| Design and implement data distribution |
5-10% |
- Design and implement multi-region writes
- 1. Implement conflict resolution policies
- 2. Choose when to use multi-region writes
- 3. Implement multi-region writes
- Design and implement replication strategy
- 1. Define automatic failover policies
- 2. Perform manual failovers
- 3. Choose a consistency model
- 4. Evaluate consistency model impacts
- 5. Choose when to distribute data
|
| Design and implement data models |
35-40% |
- Implement client connectivity options
- 1. Configure client-side threading and logging
- 2. Create database connections
- 3. Handle connection errors
- 4. Implement singleton client
- 5. Use Azure Cosmos DB emulator
- 6. Choose gateway or direct connectivity mode
- Implement data access
- 1. Implement SQL queries with arrays and aggregation
- 2. Use consistency and query request options
- 3. Implement optimistic concurrency control
- 4. Manage transactional batch operations
- 5. Use SDKs for CRUD operations
- 6. Implement patch operations
- Design and implement a non-relational data model for Azure Cosmos DB for NoSQL
- 1. Store multiple related entities in the same document
- 2. Identify data and associated access patterns
- 3. Reference between documents
- 4. Identify partition key, id, and unique keys
- 5. Denormalize data across documents
- 6. Store multiple entity types in the same container
- Design a data partitioning strategy
- 1. Plan for transactions with partition keys
- 2. Evaluate throughput and data distribution
- 3. Implement synthetic partition keys
- 4. Evaluate cross-partition query cost
- 5. Choose a partitioning strategy
- 6. Choose a partition key
- Implement server-side programming
- 1. Implement user-defined functions
- 2. Write and deploy stored procedures
- 3. Implement triggers
- Plan and implement sizing and scaling
- 1. Configure throughput
- 2. Design resource governance and scaling
- 3. Evaluate throughput and storage requirements
- 4. Choose between serverless, provisioned, and free tier
- 5. Evaluate global distribution costs
|
| Maintain an Azure Cosmos DB solution |
25-30% |
- Monitor and troubleshoot Azure Cosmos DB solutions
- 1. Monitor metrics and logs
- 2. Implement backup and recovery strategies
- 3. Monitor performance and availability
- 4. Troubleshoot throughput issues
|
| Optimize an Azure Cosmos DB solution |
15-20% |
- Optimize query performance
- 1. Retrieve request unit cost
- 2. Calculate query cost
- 3. Adjust indexing policies
- 4. Implement integrated cache
- Define and implement indexing strategy
- 1. Optimize index performance
- 2. Implement composite indexes
- 3. Choose read-heavy or write-heavy indexing
- 4. Choose appropriate index types
- 5. Configure custom indexing policies
- Design and implement change feeds
- 1. Develop Azure Functions triggers
- 2. Manage change feed instances
- 3. Implement aggregation persistence
- 4. Consume change feeds using SDK
|
| Integrate an Azure Cosmos DB solution |
5-10% |
- Enable analytical workloads
- 1. Enable analytical store
- 2. Query analytical store from Synapse
- 3. Configure Azure Cosmos DB Mirroring
- 4. Write data back from Spark
- Implement solutions across services
- 1. Implement Azure AI Search integration
- 2. Enforce referential integrity
- 3. Aggregate and archive data
- 4. Use Change Feed for denormalization
- 5. Integrate Azure Functions and Event Hubs
|
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最新的 Azure Cosmos DB Developer Specialty DP-420 免費考試真題 (Q109-Q114):
問題 #109
You are developing an application that will connect to an Azure Cosmos DB for NoSQL account. The account has a single readme region and one agonal read region. The regions are configured for automatic failover.
The account has the following connect strings. (Line numbers are included for reference only.)

For each of the following statements, select Yes if the statement is true. otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:
解題說明:

Explanation:
If the primary write region fails, applications that write to the database must use a different connection string to continue to use the service. = NO You do not need to use a different connection string to continue to use the service if the primary write region fails. This is because Azure Cosmos DB supports automatic failover, which means that it will automatically switch the primary write region to another region in case of a regional outage2. The application does not need to change the connection string or specify the failover priority3. The connection string contains a list of all the regions associated with your account, and Azure Cosmos DB will route the requests to the appropriate region based on the availability and latency1.
The primary Read-Only SQL Connection String and the Secondary Read-Only SQL Connection String will connect to different regions from an application running in the East US Azure region = Yes The primary read-only SQL connection string and the secondary read-only SQL connection string will connect to different regions from an application running in the East US Azure region. This is because the primary read-only SQL connection string contains the endpoint for the East US region, which is the same as the primary write region. The secondary read-only SQL connection string contains the endpoint for the West US region, which is the additional read region. Therefore, if an application running in the East US Azure region uses these connection strings, it will connect to different regions depending on which one it chooses.
Applications can choose from which region by setting the PreferredLocations property within their connection properties = Yes Applications can choose from which region by setting the PreferredLocations property within their connection properties. This property allows you to specify a list of regions that you prefer to read from based on their proximity to your application2. Azure Cosmos DB will route the requests to the appropriate region based on the availability and latency1. You can also set the ApplicationRegionproperty to the region where your application is deployed, and Azure Cosmos DB will automatically populate the PreferredLocations property based on the geo-proximity from that location1.
問題 #110
You have an Apache Spark pool in Azure Synapse Analytics that runs the following Python code in a notebook.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

答案:
解題說明:

Explanation:
New and updated orders will be added to contoso-erp.orders: Yes
The code performs bulk data ingestion from contoso-app: No
Both contoso-app and contoso-erp have Analytics store enabled: Yes
The code uses the spark.readStream method to read data from a container named orders in a database named contoso-app. The data is then filtered by a condition and written to another container named orders in a database named contoso-erp using the spark.writeStream method. The write mode is set to"append", which means that new and updated orders will be added to the destination container1.
The code does not perform bulk data ingestion from contoso-app, but rather stream processing. Bulk data ingestion is a process of loading large amounts of data into a data store in batches. Stream processing is a process of continuously processing data as it arrives in real-time2.
Both contoso-app and contoso-erp have Analytics store enabled, because they are both accessed by Spark pools using the spark.cosmos.oltp method. This method requires that the containers have Analytics store enabled, which is a feature that allows Spark pools to query data stored in Azure Cosmos DB containers using SQL APIs3.
問題 #111
You have a container named container1 in an Azure Cosmos DB for NoSQL account named account1 that is set to the session default consistency level. The average size of an item in contained is 20 KB.
You have an application named App1 that uses the Azure Cosmos DB SDK and performs a point read on the same set of items in container1 every minute.
You need to minimize the consumption of the request units (RUs) associated to the reads by App1.
What should you do?
- A. In App1, change the consistency level of read requests to consistent prefix
- B. In account1, provision a dedicated gateway and integrated cache
- C. In account1, change the default consistency level to bounded staleness
- D. In App1, modify the connection policy settings
答案:B
解題說明:
The main goal of the integrated cache is to reduce costs for read-heavy workloads. Low latency, while helpful, is not the main benefit of the integrated cache because Azure Cosmos DB is already fast without caching.
Point reads and queries that hit the integrated cache won't use any RUs. In other words, any cache hits will have an RU charge of 0. Cache hits will have a much lower per-operation cost than reads from the backend database.
Workloads that fit the following characteristics should evaluate if the integrated cache will help lower costs:
- Read-heavy workloads
- Many repeated point reads on large items
- Many repeated high RU queries
- Hot partition key for reads
Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/integrated-cache
問題 #112
The settings for a container in an Azure Cosmos DB Core (SQL) API account are configured as shown in the following exhibit.

Which statement describes the configuration of the container?
- A. Items stored in the collection will expire only if the item has a time to live value.
- B. Items stored in the collection will be retained always, regardless of the items time to live value.
- C. All items will be deleted after one year.
- D. All items will be deleted after one hour.
答案:A
解題說明:
When DefaultTimeToLive is -1 then your Time to Live setting is On (No default) Time to Live on a container, if present and the value is set to "-1", it is equal to infinity, and items don't expire by default.
Time to Live on an item:
This Property is applicable only if DefaultTimeToLive is present and it is not set to null for the parent container.
If present, it overrides the DefaultTimeToLive value of the parent container.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/time-to-live
問題 #113
You have an Azure Cosmos DB for NoSQL account1 that is configured for automatic failover. The account1 account has a single read-write region in West US and a and a read region in East US.
You run the following PowerShell command.

What is the effect of running the command?
- A. A manual failover will occur.
- B. The account will be configured for multi-region writes.
- C. The account will be unavailable to writes during the change.
- D. The provisioned throughput for account1 will increase.
答案:B
解題說明:
You can use the Set-AzCosmosDBAccountRegion cmdlet to update the regions that an Azure Cosmos DB account uses. You can use this cmdlet to add a region or change the region failover order. The cmdlet requires a resource group name, an Azure Cosmos DB account name, and a list of regions in desired failover order1.
For your scenario, based on the PowerShell command, you are using the Set-AzCosmosDBAccountRegion cmdlet to update the regions for an Azure Cosmos DB account named account1 that is configured for automatic failover. The command specifies two regions: West US and East US. The effect of running the command is that the account will be configured for multi-region writes.
Multi-region writes is a feature of Azure Cosmos DB that allows you to write data to any region in your account and have it automatically replicated to all other regions. This feature provides high availability and low latency for write operations across multiple regions. To enable multi-region writes, you need to specify at least two regions in your account and set them as write regions2. In your command, you are setting both West US and East US as write regions by using the -IsZoneRedundant parameter with a value of $true for both regions.
問題 #114
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