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Salesforce-Data-Cloud Unlimited Exam Practice, Exam Salesforce-Data-Cloud Collection, Salesforce-Data-Cloud PDF VCE, New Salesforce-Data-Cloud Test Blueprint, Reliable Salesforce-Data-Cloud Study Guide

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q150-Q155):

NEW QUESTION # 150
Which data model subject area defines the revenue or quantity for an opportunity by product family?

  • A. Engagement
  • B. Sales Order
  • C. Party
  • D. Product

Answer: B

Explanation:
The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner.References:https://help.salesforce.com
/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm&type=5


NEW QUESTION # 151
A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours.
Which two areas should a consultant review to troubleshoot this issue?
Choose 2 answers

  • A. Review data transformations to ensure they're run after calculated insights.
  • B. Review calculated insights to make sure they're run after the segments are refreshed.
  • C. Review calculated insights to make sure they're run before segments are refreshed.
  • D. Review segments to ensure they're refreshed after the data is ingested.

Answer: C,D

Explanation:
The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they're run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments


NEW QUESTION # 152
How does an administrator increase the consolidation rate for Identity Resolution?

  • A. Change the Ignore Empty Value option
  • B. Add more matching rules to broaden the search for matches
  • C. Change all reconciliation rules to Source Sequence
  • D. Reduce the number of matching rules

Answer: D

Explanation:
Reducing the number ofmatching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. If there are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate.
References: Identity Resolution Match Rules


NEW QUESTION # 153
Which configuration can support separate Amazon S3 buckets for data ingestion and activation?

  • A. Dedicated S3 data sources in activation setup
  • B. Separate user credentials for data stream and activation
  • C. Separate user credentials for data stream and activation target
  • D. Dedicated S3 data sources in Data Cloud setup

Answer: D


NEW QUESTION # 154
Cumulus Financial wants to be able to track the daily transaction volume of each of its customers in real time and send out a notification as soon as it detects volume outside a customer's normal range.
What should a consultant do to accommodate this request?

  • A. Use streaming data transform with a flow.
  • B. Use a calculated insight paired with a flow.
  • C. Use a streaming insight paired with a data action
  • D. Use streaming data transform combined with a data action.

Answer: C

Explanation:
A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate Cumulus Financial's request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action. References: Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors


NEW QUESTION # 155
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