Data-Cloud-Consultant Free Practice Test

A user has built a segment in Data Cloud and is in the process of creating an activation. When selecting related attributes, they cannot find a specific set of attributes they know to be related to the individual.
Which statement explains why these attributes are not available?

1. A. The segment is not segmenting on profile data.
2. B. The attributes are being used in another activation.
3. C. The desired attributes reside on different related paths.
4. D. Activations can only include 1-to-1 attributes.

Correct Answer: C
The correct answer is C, the desired attributes reside on different related paths. When creating an activation in Data Cloud, you can select related attributes from data model objects that are linked to the segment entity. However, not all related attributes are available for every activation. The availability of related attributes depends on the container path, which is the sequence of data model objects that connects the segment entity to the related entity. For example, if you segment on the Unified Individual entity, you can select related attributes from the Order Product entity, but only if the container path is Unified Individual > Order > Order Product. If the container path is Unified Individual > Order Line Item > Order Product, then the related attributes from Order Product are not available for activation. This is because Data Cloud only supports one-to-many relationships for related attributes, and Order Line Item is a many-to-many junction object between Order and Order Product. Therefore, you need to ensure that the desired attributes reside on the same related path as the segment entity, and that the path does not include any many-to-many junction objects. The other options are incorrect because they do not explain why the related attributes are not available. The segment entity can be any data model object, not just profile data. The attributes are not restricted by being used in another activation. Activations can include one-to-many attributes, not just one-to-one attributes. References:
✑ Related Attributes in Activation
✑ Considerations for Selecting Related Attributes
✑ Salesforce Launches: Data Cloud Consultant Certification
✑ Create a Segment in Data Cloud

What does it mean to build a trust-based, first-party data asset?

1. A. To provide transparency and security for data gathered from individuals who provide consentfor its use and receive value in exchange
2. B. To provide trusted, first-party data in the Data Cloud Marketplace that follows all complianceregulations
3. C. To ensure opt-in consents are collected for all email marketing as required by law
4. D. To obtain competitive data from reliable sources through interviews, surveys, and polls

Correct Answer: A
Building a trust-based, first-party data asset means collecting, managing, and activating data from your own customers and prospects in a way that respects their privacy and preferences. It also means providing them with clear and honest information about how you use their data, what benefits they can expect from sharing their data, and how they can control their data. By doing so, you can create a mutually beneficial relationship with your customers, where they trust you to use their data responsibly and ethically, and you can deliver more relevant and personalized experiences to them. A trust- based, first-party data asset can help you improve customer loyalty, retention, and growth, as well as comply with data protection regulations and standards. References: Use first- party data for a powerful digital experience, Why first-party data is the key to data privacy, Build a first-party data strategy

What does the Source Sequence reconciliation rule do in identity resolution?

1. A. Includes data from sources where the data is most frequently occurring
2. B. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
3. C. Identifies which data sources should be used in the process of reconcillation by prioritizing the most recently updated data source
4. D. Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name

Correct Answer: D
The Source Sequence reconciliation rule sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name. This rule allows you to define which data source should be used as the primary source of truth for each attribute, and which data sources should be used as fallbacks in case the primary source is missing or invalid. For example, you can set the Source Sequence rule to use data from Salesforce CRM as the first priority, data from Marketing Cloud as the second priority, and data from Google Analytics as the third priority for the first name attribute. This way, the unified profile will use the first name value from Salesforce CRM if it exists, otherwise it will use the value from Marketing Cloud, and so on. This rule helps you to ensure the accuracy and consistency of the unified profile attributes across different data sources. References: Salesforce Data Cloud Consultant Exam Guide, Identity Resolution, Reconciliation Rules

Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users.
What should the consultant do to accomplish this?

1. A. Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.
2. B. Use the data spaces feature and applying filtering on the Account data lake object based on Country.
3. C. Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.
4. D. Use formula fields based on the account Country field to filter incoming records.

Correct Answer: B
Data spaces are a feature that allows Data Cloud users to create subsets of data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the consultant can use the data spaces feature and apply filtering on the Account data lake object based on Country. This way, the Data Cloud users can access only the Account data that belongs to their respective countries. References: Data Spaces, Create a Data Space

A user Is not seeing suggested values from newly-modeled data when building a segment. What is causing this issue?

1. A. Value suggestion will only return results for the first 50 values of a specific attribute,
2. B. Value suggestion can only work on direct attributes and not related attributes.
3. C. Value suggestion requires Data Aware Specialist permissions at a minimum.
4. D. Value suggestion is still processing and takes up to 24 hours to be available.

Correct Answer: D
The most likely cause of this issue is that value suggestion is still processing and takes up to 24 hours to be available. Value suggestion is a feature that enables you to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature needs to be enabled for each DMO field, and it can take up to 24 hours for the suggested values to appear after enabling the feature1. Therefore, if a user is not seeing suggested values from newly-modeled data, it could be that the data has not been processed yet by the value suggestion feature. References:
✑ Use Value Suggestions in Segmentation