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Latest Data-Cloud-Consultant Exam Questions & Latest Data-Cloud-Consultant Exam Objectives

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.

Topic 3

Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.

Topic 4

Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.

>> Latest Data-Cloud-Consultant Exam Questions <<

Latest Salesforce Data-Cloud-Consultant Exam Objectives, Exam Data-Cloud-Consultant Blueprint

To stay updated and competitive in the market you have to upgrade your skills and knowledge level. Fortunately, with the Salesforce Certified Data Cloud Consultant (Data-Cloud-Consultant) certification exam you can do this job easily and quickly. To do this you just need to pass the Salesforce Certified Data Cloud Consultant (Data-Cloud-Consultant) certification exam. The Salesforce Certified Data Cloud Consultant (Data-Cloud-Consultant) certification exam is the top-rated and career advancement Salesforce Data-Cloud-Consultant certification in the market.

Salesforce Certified Data Cloud Consultant Sample Questions (Q35-Q40):

NEW QUESTION # 35
A customer has a requirement to be able to view the last time each segment was published within their Data Cloud org.
Which two features should the consultant recommend to best address this requirement?
Choose 2 answers

A. Dashboard
B. Profile Explorer
C. Report
D. Calculated insight

Answer: A,C

Explanation:
A customer who wants to view the last time each segment was published within their Data Cloud org can use the dashboard and report features to achieve this requirement. A dashboard is a visual representation of data that can show key metrics, trends, and comparisons. A report is a tabular or matrix view of data that can show details, summaries, and calculations. Both dashboard and report features allow the user to create, customize, and share data views based on their needs and preferences. To view the last time each segment was published, the user can create a dashboard or a report that shows the segment name, the publish date, and the publish status fields from the segment object. The user can also filter, sort, group, or chart the data by these fields to get more insights and analysis. The user can also schedule, refresh, or export the dashboard or report data as needed. References: Dashboards, Reports

NEW QUESTION # 36
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?

A. Set the activation schedule to hourly.
B. Configure the data to be ingested in hourly batches.
C. Set the insights aggregation time window to 1 hour.
D. Set the journey entry schedule to run every hour.

Answer: C

Explanation:
Streaming insights are computed from real-time engagement events and can be used to trigger data actions based on pre-set rules. Data actions are workflows that send data from Data Cloud to other systems, such as Journey Builder. To ensure that the data action is triggered every hour, the consultant should set the insights aggregation time window to 1 hour. This means that the streaming insight will evaluate the events that occurred within the last hour and execute the data action if the conditions are met. The other options are not relevant for streaming insights and data actions. References: Streaming Insights and Data Actions Limits and Behaviors, Streaming Insights, Streaming Insights and Data Actions Use Cases, Use Insights in Data Cloud, 6 Ways the Latest Marketing Cloud Release Can Boost Your Campaigns

NEW QUESTION # 37
Cumulus Financial offers both business and personal loans. Records in the Contact DLO can be useful for both groups since individual customers may have both business and personal loans. However, for legal reasons, the two groups must be kept separate.
How should Cumulus Financial solve this business requirement?

A. Duplicate the Individual DM0.
B. Create two identity resolution rules in the same data space.
C. Duplicate the Contact DLO.
D. Use two data spaces.

Answer: D

NEW QUESTION # 38
A consultant is ingesting a list of employees from their human resources database that they want to segment on.
Which data stream category should the consultant choose when ingesting this data?

A. Profile Data
B. Engagement Data
C. Contact Data
D. Other Data

Answer: D

Explanation:
Categories of Data Streams:
* Profile Data: Customer profiles and demographic information.
* Contact Data: Contact points like email and phone numbers.
* Other Data: Miscellaneous data that doesn't fit into the other categories.
* Engagement Data: Interactions and behavioral data.

NEW QUESTION # 39
What does it mean to build a trust-based, first-party data asset?

A. To provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
B. To provide trusted, first-party data in the Data Cloud Marketplace that follows all compliance regulations
C. To ensure opt-in consents are collected for all email marketing as required by law
D. To obtain competitive data from reliable sources through interviews, surveys, and polls

Answer: A

Explanation:
Explanation
Building a trust-based, first-party data asset means collecting, managing, and activating data from your own customers and prospects in a way that respects their privacy and preferences. It also means providing them with clear and honest information about how you use their data, what benefits they can expect from sharing their data, and how they can control their data. By doing so, you can create a mutually beneficial relationship with your customers, where they trust you to use their data responsibly and ethically, and you can deliver more relevant and personalized experiences to them. A trust-based, first-party data asset can help you improve customer loyalty, retention, and growth, as well as comply with data protection regulations and standards. References: Use first-party data for a powerful digital experience, Why first-party data is the key to data privacy, Build a first-party data strategy

NEW QUESTION # 40
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