AUTHORITATIVE LATEST DATA-CLOUD-CONSULTANT VERSION BRING YOU PRACTICAL DATA-CLOUD-CONSULTANT EXAM REVISION PLAN FOR SALESFORCE SALESFORCE CERTIFIED DATA CLOUD CONSULTANT

Authoritative Latest Data-Cloud-Consultant Version bring you Practical Data-Cloud-Consultant Exam Revision Plan for Salesforce Salesforce Certified Data Cloud Consultant

Authoritative Latest Data-Cloud-Consultant Version bring you Practical Data-Cloud-Consultant Exam Revision Plan for Salesforce Salesforce Certified Data Cloud Consultant

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Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 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.
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.

Salesforce Certified Data Cloud Consultant Sample Questions (Q130-Q135):

NEW QUESTION # 130
Which consideration related to the way Data Cloud ingests CRM data is true?

  • A. The CRM Connector's synchronization times can be customized to up to 15-minute intervals.
  • B. The CRM Connector allows standard fields to stream into Data Cloud in real time.
  • C. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization,
  • D. Formula fields are refreshed at regular sync intervals and are updated at the next full refresh.

Answer: B

Explanation:
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1.
The other options are incorrect for the following reasons:
* A. CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.
* B. The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not
15-minute intervals3. This option is false.
* C. Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered.
This option is false.
References:
* 1: Connect and Ingest Data in Data Cloud article on Salesforce Help
* 2: Data Sources in Data Cloud unit on Trailhead
* 3: Data Cloud for Admins module on Trailhead
* 4: [Formula Fields in Data Cloud] unit on Trailhead
* : [Data Streams in Data Cloud] unit on Trailhead


NEW QUESTION # 131
Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users.
What should the consultant do to accomplish this?

  • A. Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.
  • B. Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.
  • C. Use formula fields based on the account Country field to filter incoming records.
  • D. Use the data spaces feature and applying filtering on the Account data lake object based on Country.

Answer: D

Explanation:
Explanation
Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the dataspaces feature and apply filtering on the Account data lake object based on Country. This way, the Data Cloud users can access only the Account data that belongs to their respective countries. References: Data Spaces, Create a Data Space


NEW QUESTION # 132
A retail customer wants to bring customer data from different sources
and wants to take advantage of identity resolution so that it can be
used in segmentation.
On which entity should this be segmented for activation membership?

  • A. Subscriber
  • B. Unified Individual
  • C. Individual
  • D. Unified Contact

Answer: B

Explanation:
The correct answer is B, Unified Individual. A Unified Individual is a record that represents a customer across different data sources, created by applying identity resolution rulesets. Identity resolution rulesets are sets of match and reconciliation rules that define how to link and merge data from different sources based on common attributes. Data Cloud uses identity resolution rulesets to resolve data across multiple data sources and helps you create one record for each customer, regardless of where the data came from1. A retail customer who wants to bring customer data from different sources and use identity resolution for segmentation should segment on the Unified Individual entity, which contains the resolved and consolidated customer data. The other options are incorrect because they do not represent the resolved customer data across different sources. A Subscriber is a record that represents a customer who has opted in to receive marketing communications. A Unified Contact is a record that represents a customer who has a relationship with a specific business unit. An Individual is a record that represents a customer's profile data from a single data source. Reference:
Identity Resolution Ruleset Processing Results
Consider Data Implications for Segmentation
Prepare for your Salesforce Data Cloud Consultant Credential
AI-based Identity Resolution: Linking Diverse Customer Data


NEW QUESTION # 133
What does the Ignore Empty Value option do in identity resolution?

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

Answer: D

Explanation:
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.
Reference:
Data Cloud Identity Resolution Reconciliation Rule Input
Configure Identity Resolution Rulesets
Data and Identity in Data Cloud


NEW QUESTION # 134
Northern Trail Outfitters unifies individuals in its Data Cloud instance.
Which three features ca e consultant use to validate the data on a unified profile?
Choose 3 answers

  • A. Query APL
  • B. Data Explorer
  • C. Data Actions
  • D. Profile Explorer
  • E. Identity Resolution

Answer: B,D,E

Explanation:
To validate the data on a unified profile, the consultant can use the following features:
Identity Resolution: This feature allows the consultant to view and edit the identity resolution rulesets that determine how individuals are unified from different data sources1.
Data Explorer: This feature allows the consultant to browse and filter the unified profiles and view their attributes, segments, and activities2.
Profile Explorer: This feature allows the consultant to drill down into a specific unified profile and view its details, such as source records, identity graph, calculated insights, and data actions3. Reference:
1: Identity Resolution in Data Cloud
2: Data Explorer in Data Cloud
3: Profile Explorer in Data Cloud


NEW QUESTION # 135
......

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