Salesforce Data Cloud Data-Cloud-Consultant Braindumps

Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Reference: https://trailheadacademy.salesforce.com/certificate/exam-data-cloud---Data-Con-101

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Salesforce Certified Data 360 Consultant (Data-Con-101) Sample Questions:

Question #1
A Data 360 Consultant recently discovered that their Identity Resolution process is matching individuals who share email addresses or phone numbers but are not actually the same individual. What should the consultant do to address this issue?

A. Create and run a new ruleset with fewer matching rules, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
B. Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
C. Modify the existing ruleset with stricter matching criteria, run the ruleset and review the updated results, and then adjust as needed until the individuals are matching correctly.
D. Modify the existing ruleset to use fewer matching rules, run the ruleset and review the updated results, and then adjust as needed until the individuals are matching correctly.

Question #2
A data source does not have a field that can be designated as a primary key. What should the Data 360 Consultant do?

A. Use the default primary key recommended by Data 360.
B. Create a composite key by combining two or more source fields through a formula field.
C. Remove duplicates from the data source and then select a primary key.
D. Select a field as a primary key and then add a key qualifier.

Question #3
Which statement about query federation in Data 360 is true?

A. Query federation pushes SQL queries to the external system ' s compute layer.
B. Query federation requires data to be first converted to parquet format.
C. Query federation requires file-based data lakes such as Iceberg.
D. Data 360 executes queries using its own compute engine, regardless of the external system.

Question #4
A Data 360 Consultant is building a marketing- to- sales handoff process that requires sales reps to see a chronological list of a prospect ' s Web Page Views and Email Clicks directly on the Lead record. These interactions are stored as Engagement data in Data 360. What is the most efficient way to display this?

A. Drag the native Data 360 Related List Enrichment onto the Lead Lightning page and configure the relevant Engagement data model objects (DMOs).
B. Embed a filtered report chart on the record page that queries the Data 360 objects directly.
C. Create a custom object in Salesforce, use Flow to sync Data 360 Engagement records back to CRM, and add a standard related list.
D. Use Dynamic Forms to conditionally show fields from the Data 360 Individual object based on the Lead ' s status.

Question #5
A Data 360 Consultant has a large historical dataset stored in Snowflake as parquet files in an object store.
The consultant needs to run heavy analytics queries periodically, with high throughput but not necessarily real- time needs. Which Data 360 pattern is most appropriate?

A. Ingest data into Data 360 as a data lake object (DLO)
B. Query federation with acceleration (Caching)
C. File federation
D. Query federation without acceleration (Live or Direct Access)

Solutions: