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Salesforce Data Cloud Consultant (Data-Con-101) - SalesForce Actual Exam Questions

Last updated on May 12, 2026

97% Exam Compliance
170 Total Questions
1
Question

Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions. What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?

Options
A

The B2C Commerce Order Bundle ingests 12 months of historical data.

B

The B2C Commerce Order Bundle ingests 6 months of historical data.

C

The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.

D

The B2C Commerce Order Bundle ingests 30 days of historical data.

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2
Question

A company is seeking advice from a consultant on how to address the challenge of having multiple leads and contacts in Salesforce that share the same email address. The consultant wants to provide a detailed and comprehensive explanation on how Data Cloud can be leveraged to effectively solve this issue. What should the consultant highlight to address this company's business challenge?

Options
A

Data Bundles

B

Calculated Insights

C

Identity Resolution

D

Identity Resolution

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3
Question

A financial services firm specializing in wealth management contacts a Data Cloud consultant with an identity resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios. Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single entity to maintain personalized service and accurate financial advice. Which identity resolution strategy should the consultant put in place?

Options
A

Analyze Shared Attributes Identify shared attributes (e.g., address, phone number) and unique attributes (e.g., email, social security number). Step

B

Define Restrictive Match Rules Configure match rules that prioritize unique attributes and minimize reliance on shared contact points. Step

C

Test Identity Resolution Test the match rules to ensure that individual profiles are preserved while still allowing for some shared attributes. Step

D

Monitor and Refine Continuously monitor the results and refine the match rules as needed to achieve the desired outcome. Conclusion A more restrictive design approach ensures that match rules perform as desired, preserving the uniqueness of individual profiles while accommodating shared attributes within family portfolios.

E

Configure a single match rule with a single connected contact point based on address.

F

Configure a single match rule with a single connected contact point based on address : This would likely result in over-matching and blending profiles, which is undesirable.

G

Use multiple contact points without individual attributes in the match rules.

H

Use multiple contact points without individual attributes in the match rules : This approach lacks the precision needed to maintain distinct profiles.

I

Use a more restrictive design approach to ensure the match rules perform as desired.

J

Configure a single match rule based on a custom identifier.

K

Configure a single match rule based on a custom identifier : While custom identifiers are useful, relying on a single rule may not account for all scenarios and could lead to over-matching. Steps to Implement the Solution Step

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4
Question

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

Select 2
Options
A

Profile Explorer

B

Calculated insight

C

Dashboard

D

Report

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5
Question

What is Data Cloud's primary value to customers?

Options
A

To provide a unified view of a customer and their related data

B

To connect all systems with a golden record

C

To create a single source of truth for all anonymous data

D

To create personalized campaigns by listening, understanding, and acting on customer behavior

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