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Salesforce Certified Data Cloud Consultant Sample Questions (Q13-Q18):

NEW QUESTION # 13
A consultant is setting up a data stream with transactional data,
Which field type should the consultant choose to ensure that leading
zeros in the purchase order number are preserved?

A. Text
B. Number
C. Serial
D. Decimal

Answer: A

Explanation:
The field type Text should be chosen to ensure that leading zeros in the purchase order number are preserved. This is because text fields store alphanumeric characters as strings, and do not remove any leading or trailing characters. On the other hand, number, decimal, and serial fields store numeric values as numbers, and automatically remove any leading zeros when displaying or exporting the data123. Therefore, text fields are more suitable for storing data that needs to retain its original format, such as purchase order numbers, zip codes, phone numbers, etc. References:
Zeros at the start of a field appear to be omitted in Data Exports
Keep First '0' When Importing a CSV File
Import and export address fields that begin with a zero or contain a plus symbol

NEW QUESTION # 14
Where is value suggestion for attributes in segmentation enabled when creating the DMO?

A. Data Mapping
B. Segment Setup
C. Data Transformation
D. Data Stream Setup

Answer: B

Explanation:
Value suggestion for attributes in segmentation is a feature that allows you to see and select the possible values for a text field when creating segment filters. You can enable or disable this feature for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear. To use value suggestion when creating segment filters, you need to drag the attribute onto the canvas and start typing in the Value field for an attribute. You can also select multiple values for some operators. Value suggestion is not available for attributes with more than 255 characters or for relationships that are one-to-many (1:N). References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes

NEW QUESTION # 15
What is a reason to create a formula when ingesting a data stream?

A. To add a unique external identifier to an existing ruleset
B. To concatenate files so they are ingested in the correct sequence
C. To transform is date time field into a dale field for use in data mapping
D. To remove duplicate rows of data from the data stream

Answer: C

NEW QUESTION # 16
What are the two minimum requirements needed when using the Visual Insights Builder to create a calculated insight?
Choose 2 answers

A. At least one dimension
B. A WHERE clause
C. At least two objects to Join
D. At least one measure

Answer: A,D

Explanation:
Introduction to Visual Insights Builder:
* The Visual Insights Builder in Salesforce Data Cloud is a tool used to create calculated insights, which are custom metrics derived from the existing data.

NEW QUESTION # 17
Northern Trail Outfitters (NTO) wants to send a promotional campaign for customers that have purchased within the past 6 months. The consultant created a segment to meet this requirement.
Now, NTO brings an additional requirement to suppress customers who have made purchases within the last week.
What should the consultant use to remove the recent customers?

A. Related attributes
B. Segmentation exclude rules
C. Batch transforms
D. Streaming insight

Answer: B

Explanation:
The consultant should use B. Segmentation exclude rules to remove the recent customers. Segmentation exclude rules are filters that can be applied to a segment to exclude records that meet certain criteria. The consultant can use segmentation exclude rules to exclude customers who have made purchases within the last week from the segment that contains customers who have purchased within the past 6 months. This way, the segment will only include customers who are eligible for the promotional campaign.
The other options are not correct. Option A is incorrect because batch transforms are data processing tasks that can be applied to data streams or data lake objects to modify or enrich the data. Batch transforms are not used for segmentation or activation. Option C is incorrect because related attributes are attributes that are derived from the relationships between data model objects. Related attributes are not used for excluding records from a segment. Option D is incorrect because streaming insights are derived attributes that are calculated at the time of data ingestion. Streaming insights are not used for excluding records from a segment. Reference: Salesforce Data Cloud Consultant Exam Guide, Segmentation, Segmentation Exclude Rules

NEW QUESTION # 18
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