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Data-Cloud-Consultant Practice Questions

Salesforce Certified Data Cloud Consultant (Data-Con-101)

Last Update 4 days ago
Total Questions : 167

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Question # 21

A customer has a Master Customer table from their CRM to ingest into Data Cloud. The

table contains a name and primary email address, along with other personally Identifiable

information (Pll).

How should the fields be mapped to support identity resolution?

Options:

A.  

Create a new custom object with fields that directly match the incoming table.

B.  

Map all fields to the Customer object.

C.  

Map name to the Individual object and email address to the Contact Phone Email object.

D.  

Map all fields to the Individual object, adding a custom field for the email address.

Discussion 0
Question # 22

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?

Options:

A.  

Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.

B.  

Use the data spaces feature and applying filtering on the Account data lake object based on Country.

C.  

Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.

D.  

Use formula fields based on the account Country field to filter incoming records.

Discussion 0
Question # 23

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

Options:

A.  

Review data transformations to ensure they're run after calculated insights.

B.  

Review calculated insights to make sure they're run before segments are refreshed.

C.  

Review segments to ensure they're refreshed after the data is ingested.

D.  

Review calculated insights to make sure they're run after the segments are refreshed.

Discussion 0
Question # 24

A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.

How should a consultant ingest and map this data in Data Cloud?

Options:

A.  

Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.

B.  

Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.

C.  

Ingest the data into two DLOs and then map to two custom DMOs.

D.  

Ingest the data into one DLO and then map to one custom DMO.

Discussion 0
Question # 25

Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage

activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.

Which Data Cloud component allows for this?

Options:

A.  

Nested segments

B.  

Segment exclusion

C.  

Calculated insights

D.  

Segment membership data model object

Discussion 0
Question # 26

Cumulus Financial is currently using Data Cloud and ingesting transactional data from its

backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the

company created a formula field in Data Cloud to create a custom classification. It now needs to

update this formula to account for more classifications.

What should the consultant keep in mind with regard to formula field updates when using the S3

Connector?

Options:

A.  

Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.

B.  

Data Cloud will only update the formula on a go-forward basis for new records.

C.  

Data Cloud does not support formula field updates for data streams of type upsert.

D.  

Data Cloud will update the formula for all records at the next incremental upsert refresh.

Discussion 0
Question # 27

When creating a segment on an individual, what is the result of using two separate

containers linked by an AND as shown below?

GoodsProduct | Count | At Least | 1

Color | Is Equal To | red

AND

GoodsProduct | Count | At Least | 1

PrimaryProductCategory | Is Equal To | shoes

Options:

A.  

Individuals who purchased at least one of any red’ product and also purchased at least one pairof ‘shoes’

B.  

Individuals who purchased at least one 'red shoes' as a single line item in a purchase

C.  

Individuals who made a purchase of at least one 'red shoes’ and nothing else

D.  

Individuals who purchased at least one of any 'red' product or purchased at least one pair of'shoes'

Discussion 0
Question # 28

Cloud Kicks received a Request to be Forgotten by a customer.

In which two ways should a consultant use Data Cloud to honor this request?

Choose 2 answers

Options:

A.  

Delete the data from the incoming data stream and perform a full refresh.

B.  

Add the Individual ID to a headerless file and use the delete from file functionality.

C.  

Use Data Explorer to locate and manually remove the Individual.

D.  

Use the Consent API to suppress processing and delete the Individual and related records fromsource data streams.

Discussion 0
Question # 29

A customer requests that their personal data be deleted.

Which action should the consultant take to accommodate this request in Data Cloud?

Options:

A.  

Use a streaming API call to delete the customer's information.

B.  

Use Profile Explorer to delete the customer data from Data Cloud.

C.  

Use Consent API to request deletion of the customer's information.

D.  

Use the Data Rights Subject Request tool to request deletion of the customer's information.

Discussion 0
Question # 30

Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily

basis to be ingested in Data Cloud.

In what order should each process be run to ensure that freshly imported data is ready and available

to use for any segment?

Options:

A.  

Calculated Insight > Refresh Data Stream > Identity Resolution

B.  

Refresh Data Stream > Calculated Insight > Identity Resolution

C.  

Identity Resolution > Refresh Data Stream > Calculated Insight

D.  

Refresh Data Stream > Identity Resolution > Calculated Insight

Discussion 0
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