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Salesforce Certified Data Cloud Consultant study guide: exam Data-Con-101 real vce collection

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Salesforce Certified Data Cloud Consultant Sample Questions (Q90-Q95):

NEW QUESTION # 90
A healthcare client wants to make use of identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII).
Which matching rule criteria should a consultant recommend for the most accurate matching results?

A. Exact Last Name and Emil
B. Fuzzy First Name, Exact Last Name, and Email
C. Party Identification on Patient ID
D. Email Address and Phone

Answer: C

Explanation:
Identity resolution is the process of linking data from different sources into a unified profile of a customer or an individual. Identity resolution uses matching rules to compare the attributes of different records and determine if they belong to the same person. Matching rules can be based on exact or fuzzy matching of various attributes, such as name, email, phone, address, or custom identifiers. A healthcare client who wants to use identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII), such as name or email, should use a matching rule criteria that is based on a unique and reliable identifier that is specific to the healthcare domain. One such identifier is the patient ID, which is a unique number assigned to each patient by a healthcare provider or system. By using the party identification on patient ID as a matching rule criteria, the healthcare client can ensure that only records that have the same patient ID are matched and unified, and avoid false positives or false negatives that may occur due to common or similar names or emails. The party identification on patient ID is also a secure and compliant way of handling sensitive healthcare data, as it does not expose or share any PII that may be subject to data protection regulations or standards. References: Configure Identity Resolution Rulesets, A framework of identity resolution: evaluating identity attributes and methods

NEW QUESTION # 91
Which consideration related to the way Data Cloud ingests CRM data is true?

A. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization,
B. The CRM Connector allows standard fields to stream into Data Cloud in real time.
C. Formula fields are refreshed at regular sync intervals and are updated at the next full refresh.
D. The CRM Connector's synchronization times can be customized to up to 15-minute intervals.

Answer: B

Explanation:
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1.
The other options are incorrect for the following reasons:
A). CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.
B). The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not 15- minute intervals3. This option is false.
C). Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered. This option is false.
1: Connect and Ingest Data in Data Cloud article on Salesforce Help
2: Data Sources in Data Cloud unit on Trailhead
3: Data Cloud for Admins module on Trailhead
4: [Formula Fields in Data Cloud] unit on Trailhead
[Data Streams in Data Cloud] unit on Trailhead

NEW QUESTION # 92
What is a reason to create a formula when ingesting a data stream?

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

Answer: A

Explanation:
Creating a formula during data stream ingestion is often done to manipulate or transform data fields to meet specific requirements. In this case, the most common reason is to transform a date-time field into a date field for use in data mapping . Here's why:
Understanding the Requirement
When ingesting data into Salesforce Data Cloud, certain fields may need to be transformed to align with the target data model.
For example, a date-time field (e.g., "2023-10-05T14:30:00Z") may need to be converted into a date field (e.
g., "2023-10-05") for proper mapping and analysis.
Why Transform a Date-Time Field into a Date Field?
Data Mapping Compatibility :
Some data models or downstream systems may only accept date fields (without the time component).
Transforming the field ensures compatibility and avoids errors during ingestion or activation.
Simplified Analysis :
Removing the time component simplifies analysis and reporting, especially when working with daily trends or aggregations.
Standardization :
Converting date-time fields into consistent date formats ensures uniformity across datasets.
Steps to Implement This Solution
Step 1: Identify the Date-Time Field
During the data stream setup, identify the field that contains the date-time value (e.g., "Order_Date_Time").
Step 2: Create a Formula Field
Use the Formula Field option in the data stream configuration to create a new field.
Apply a transformation function (e.g., DATE() or equivalent) to extract the date portion from the date-time field.
Step 3: Map the Transformed Field
Map the newly created date field to the corresponding field in the target data model (e.g., Unified Profile or Data Lake Object).
Step 4: Validate the Transformation
Test the data stream to ensure the transformation works correctly and the date field is properly ingested.
Why Not Other Options?
A). To concatenate files so they are ingested in the correct sequence :Concatenation is not a typical use case for formulas during ingestion. File sequencing is usually handled at the file ingestion level, not through formulas.
B). To add a unique external identifier to an existing ruleset :Adding a unique identifier is typically done during data preparation or identity resolution, not through formulas during ingestion.
D). To remove duplicate rows of data from the data stream :Removing duplicates is better handled through deduplication rules or transformations, not formulas.
Conclusion
The primary reason to create a formula when ingesting a data stream is to transform a date-time field into a date field for use in data mapping . This ensures compatibility, simplifies analysis, and standardizes the data for downstream use.

NEW QUESTION # 93
Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?

A. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If theindividual does not have a related Contact Point, it will not be activated.
B. Marketing Cloud activations apply a frequency cap and limit the number of records that can besent in an activation.
C. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.They do not allow activation of new records.
D. Marketing Cloud activations automatically suppress individuals who are unengaged and have notopened or clicked on an email in the last six months.

Answer: A

Explanation:
Data Cloud requires a Contact Point for Marketing Cloud activations, which is a record that links an individual to an email address. This ensures that the individual has given consent to receive email communications and that the email address is valid. If the individual does not have a related Contact Point, they will not be activated in Marketing Cloud. This may result in a lower activated count than the segment count. References: Data Cloud Activation, Contact Point for Marketing Cloud

NEW QUESTION # 94
To import campaign members into a campaign in Salesforce CRM, a user wants to export the segment to Amazon S3. The resulting file needs to include the Salesforce CRM Campaign ID in the name.
What are two ways to achieve this outcome?
Choose 2 answers

A. Hard code the campaign identifier as a new attribute in the campaign activation.
B. Include campaign identifier in the segment name.
C. Include campaign identifier in the activation name.
D. Include campaign identifier in the filename specification.

Answer: C,D

Explanation:
The two ways to achieve this outcome are A and C. Include campaign identifier in the activation name and include campaign identifier in the filename specification. These two options allow the user to specify the Salesforce CRM Campaign ID in the name of the file that is exported to Amazon S3. The activation name and the filename specification are both configurable settings in the activation wizard, where the user can enter the campaign identifier as a text or a variable. The activation name is used as the prefix of the filename, and the filename specification is used as the suffix of the filename. For example, if the activation name is
"Campaign_123" and the filename specification is "{segmentName}_{date}", the resulting file name will be
"Campaign_123_SegmentA_2023-12-18.csv". This way, the user can easily identify the file that corresponds to the campaign and import it into Salesforce CRM.
The other options are not correct. Option B is incorrect because hard coding the campaign identifier as a new attribute in the campaign activation is not possible. The campaign activation does not have any attributes, only settings. Option D is incorrect because including the campaign identifier in the segment name is not sufficient.
The segment name is not used in the filename of the exported file, unless it is specified in the filename specification. Therefore, the user will not be able to see the campaign identifier in the file name.

NEW QUESTION # 95
......

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