Question # 1
| Which permission setting should a consultant check if the custom Salesforce CRM object is not available in New Data Stream configuration? | | A. Confirm the Create object permission is enabled in the Data Cloud org. | | B. Confirm the View All object permission is enabled in the source Salesforce CRM org. | | C. Confirm the Ingest Object permission is enabled in the Salesforce CRM org. | | D. Confirm that the Modify Object permission is enabled in the Data Cloud org. |
B. Confirm the View All object permission is enabled in the source Salesforce CRM org.
Explanation: To create a new data stream from a custom Salesforce CRM object, the consultant needs to confirm that the View All object permission is enabled in the source Salesforce CRM org. This permission allows the user to view all records associated with the object, regardless of sharing settings1. Without this permission, the custom object will not be available in the New Data Stream configuration2. References:
Manage Access with Data Cloud Permission Sets
Object Permissions
Question # 2
| To import campaign members into a campaign in CRM a user wants to export the segment to Amazon S3. The resulting file needs to include CRM Campaign ID in the name. How can this outcome be achieved? | | A. Include campaign identifier into the activation name | | B. Hard-code the campaign identifier as a new attribute in the campaign activation | | C. Include campaign identifier into the filename specification | | D. Include campaign identifier into the segment name |
C. Include campaign identifier into the filename specification
Explanation:
You can use the filename specification option in the Amazon S3 activation to customize the name of the file that is exported. You can use variables such as {campaignId} to include the CRM campaign ID in the file name.
Question # 3
| A customer creates a large segment of customers that placed orders in the last 30 days,
and adds related attributes from the… to the activation. Upon checking the activation in
Marketing Cloud, they notice It contains orders that are older than 30 days.
What should a consultant do to resolve this issue? | | A. use data graphs that contain only 30 days of data. | | B. Apply a data space fitter to exclude orders older than 30 days. | | C. Apply a filter to Purchase Order Date to exclude orders older than 30 days. | | D. Use SQL in Marketing Cloud Engagement to remove orders older than 30 days. |
C. Apply a filter to Purchase Order Date to exclude orders older than 30 days.
Question # 4
| 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. Decimal | | D. Serial |
A. Text
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
Question # 5
| A consultant needs to create a data graph based on several DLOs,
Which step should the consultant take to make this work? | | A. Use a data action to update the data graph with the DLO data | | B. Map the DLOS to DMOS and use these in the data graph | | C. Map the DLOs directly to a data graph. | | D. Batch transform the DLOs to multiple DMOs and activate these with the data graph. |
B. Map the DLOS to DMOS and use these in the data graph
Question # 6
| Which configuration supports separate Amazon S3 buckets for data ingestion and activation? | | A. Dedicated S3 data sources in Data Cloud setup | | B. Multiple S3 connectors in Data Cloud setup | | C. Dedicated S3 data sources in activation setup | | D. Separate user credentials for data stream and activation target |
A. Dedicated S3 data sources in Data Cloud setup
Explanation:
To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are used to identify the origin and type of the data that you ingest into Data Cloud1. You can create different data sources for each S3 bucket that you want to use for ingestion or activation, and specify the bucket name, region, and access credentials2. This way, you can separate and organize your data by different criteria, such as brand, region, product, or business unit3. The other options are incorrect because they do not support separate S3 buckets for data ingestion and activation. Multiple S3 connectors are not a valid configuration in Data Cloud setup, as there is only one S3 connector available4. Dedicated S3 data sources in activation setup are not a valid configuration either, as activation setup does not require data sources, but activation targets5. Separate user credentials for data stream and activation target are not sufficient to support separate S3 buckets, as you also need to specify the bucket name and region for each data source2.
Question # 7
| Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud. Which engagement channel data will require custom integration? | | A. SMS | | B. Email | | C. CloudPage | | D. Mobile push |
C. CloudPage
Explanation:
CloudPage is a web page that can be personalized and hosted by Marketing Cloud. It is not one of the standard engagement channels that Data Cloud supports out of the box. To use CloudPage data in Data Cloud, a custom integration is required. The other engagement channels (SMS, email, and mobile push) are supported by Data Cloud and can be integrated using the Marketing Cloud Connector or the Marketing Cloud API.
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It's for consultants with experience in implementing enterprise data platforms, focusing on designing, configuring, and architecting solutions.
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Ideal for professionals with two or more years of experience in data strategy, data modeling, and Salesforce solutions across various clouds.
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The exam comprises 60 multiple-choice/multiple-select questions, to be completed in 105 minutes, with a passing score of 62%.
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