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Data-Cloud-Consultant真題, Data-Cloud-Consultant考題套裝, Data-Cloud-Consultant考古題, Data-Cloud-Consultant考試心得, Data-Cloud-Consultant資訊

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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor: Salesforce
Exam Name: Salesforce Certified Data 360 Consultant
Exam Number: Data-Con-101
Exam Duration: 90 minutes
Exam Price: $200 USD
Passing Score: 63%
Real Exam Qty: 60
Certificate Validity Period: 3 years
Related Certifications: Salesforce Certified Administrator
Salesforce Certified Data Architect
Exam Format: Multiple Choice, Multiple Select
Available Languages: English
Sample Questions: Salesforce Data-Cloud-Consultant Sample Questions
Exam Way: Online proctored exam
Pre Condition: Recommended: Salesforce Administrator certification and hands-on experience with Data Cloud implementation
Official Syllabus URL: https://trailhead.salesforce.com/credentials/data360consultant

>> Data-Cloud-Consultant真題 <<

Salesforce Data-Cloud-Consultant考題套裝 & Data-Cloud-Consultant考古題

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Salesforce Data-Cloud-Consultant 考試大綱：

主題 簡介
主題 1
  • Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
主題 2
  • Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
主題 3
  • Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.

最新的 Salesforce Data Cloud Data-Cloud-Consultant 免費考試真題 (Q45-Q50):

問題 #45
Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers

  • A. The calculated insight must contain a dimension including the Individual or Unified Individual Id.
  • B. The primary key of the segmented table must be a metric in the calculated insight.
  • C. The metrics of the calculated insights must only contain numeric values.
  • D. The primary key of the segmented table must be a dimension in the calculated insight.

答案：A,D

解題說明：
Explanation
A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas. There are two requirements that must be met for a calculated insight to appear in the segmentation canvas:
* The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location.
The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud.
The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes.
* The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results.
References: Create a Calculated Insight, Use Insights in Data Cloud, Segmentation


問題 #46
What does the Ignore Empty Value option do in identity resolution?

  • A. Ignores empty fields when running the standard match rules
  • B. Ignores empty fields when running any custom match rules
  • C. Ignores Individual object records with empty fields when running identity resolution rules
  • D. Ignores empty fields when running reconciliation rules

答案：D

解題說明：
The Ignore Empty Value option in identity resolution allows customers to ignore empty fields when running reconciliation rules. Reconciliation rules are used to determine the final value of an attribute for a unified individual profile, based on the values from different sources. The Ignore Empty Value option can be set to true or false for each attribute in a reconciliation rule. If set to true, the reconciliation rule will skip any source that has an empty value for that attribute and move on to the next source in the priority order. If set to false, the reconciliation rule will consider any source that has an empty value for that attribute as a valid source and use it to populate the attribute value for the unified individual profile.
The other options are not correct descriptions of what the Ignore Empty Value option does in identity resolution. The Ignore Empty Value option does not affect the custom match rules or the standard match rules, which are used to identify and link individuals across different sources based on their attributes. The Ignore Empty Value option also does not ignore individual object records with empty fields when running identity resolution rules, as identity resolution rules operate on the attribute level, not the record level.
Data Cloud Identity Resolution Reconciliation Rule Input
Configure Identity Resolution Rulesets
Data and Identity in Data Cloud


問題 #47
Northern Trail Outfitters (NTD) creates a calculated insight to compute recency, frequency, monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target.
Which two actions are required when configuring the activation?
Choose 2 answers

  • A. Add the calculated insight in the activation.
  • B. Select contact points.
  • C. Add additional attributes.
  • D. Choose a segment.

答案：B,D


問題 #48
What is the result of a segmentation criteria filtering on City | Is Equal To | 'San Jose'?

  • A. Cities only containing 'San Jose' or 'San Jose'
  • B. Cities only containing 'San Jose' or 'san jose'
  • C. Cities containing 'San Jose', 'San Jose', 'san jose', or 'san jose'
  • D. Cities only containing 'San Jose' or 'san jose'

答案：D

解題說明：
The result of a segmentation criteria filtering on City | Is Equal To | 'San Jose' is cities only containing 'San Jose' or 'san jose'. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter1. Therefore, cities containing 'San Jose', 'san jose', or 'San Jose' will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name 'San Jose', you would need to use the OR operator and add multiple filter values, such as 'San Jose' OR 'San Jose' OR 'san jose' OR 'san jose'2. Reference: Segmentation Criteria, Segmentation Operators


問題 #49
A consultant is reviewing a recent activation using engagement-based related attributes but is not seeing any related attributes in their payload for the majority of their segment members.
Which two areas should the consultant review to help troubleshoot this issue?
Choose 2 answers

  • A. The related engagement events occurred within the last 90 days.
  • B. The activations are referencing segments that segment on profile data rather than engagement data.
  • C. The activated profiles have a Unified Contact Point.
  • D. The correct path is selected for the related attributes.

答案：A,D

解題說明：
Engagement-based related attributes are attributes that describe the interactions of a person with an email message, such as opens, clicks, unsubscribes, etc. These attributes are stored in the Engagement data model object (DMO) and can be added to an activation to send more personalized communications. However, there are some considerations and limitations when using engagement-based related attributes, such as:
For engagement data, activation supports a 90-day lookback window. This means that only the attributes from the engagement events that occurred within the last 90 days are considered for activation. Any records outside of this window are not included in the activation payload. Therefore, the consultant should review the event time of the related engagement events and make sure they are within the lookback window.
The correct path to the related attributes must be selected for the activation. A path is a sequence of DMOs that are connected by relationships in the data model. For example, the path from Individual to Engagement is Individual -> Email -> Engagement. The path determines which related attributes are available for activation and how they are filtered. Therefore, the consultant should review the path selection and make sure it matches the desired related attributes and filters.
The other two options are not relevant for this issue. The activations can reference segments that segment on profile data rather than engagement data, as long as the activation target supports related attributes. The activated profiles do not need to have a Unified Contact Point, which is a unique identifier for a person across different data sources, to activate engagement-based related attributes. References: Add Related Attributes to an Activation, Related Attributes in Data Cloud activation have no values, Explore the Engagement Data Model Object


問題 #50
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