QUESTION: 13

What should a user do to pause a segment activation with the intent of using that segment again?

Deactivate the segment.
Delete the segment.
Skip the activation.
Stop the publish schedule.

Answer(s): A

Explanation:

The correct answer is A. Deactivate the segment. If a segment is no longer needed, it can be deactivated through Data Cloud and applies to all chosen targets. A deactivated segment no longer publishes, but it can be reactivated at any time. This option allows the user to pause a segment activation with the intent of using that segment again. The other options are incorrect for the following reasons:
B . Delete the segment. This option permanently removes the segment from Data Cloud and cannot be undone. This option does not allow the user to use the segment again. C . Skip the activation. This option skips the current activation cycle for the segment, but does not affect the future activation cycles. This option does not pause the segment activation indefinitely. D . Stop the publish schedule. This option stops the segment from publishing to the chosen targets, but does not deactivate the segment. This option does not pause the segment activation completely.

Reference:

1: Deactivated Segment article on Salesforce Help
2: Delete a Segment article on Salesforce Help
3: Skip an Activation article on Salesforce Help
4: Stop a Publish Schedule article on Salesforce Help

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QUESTION: 14

Individuals who purchased at least one of any red' product and also purchased at least one pair of `shoes'
Individuals who purchased at least one 'red shoes' as a single line item in a purchase
Individuals who made a purchase of at least one 'red shoes' and nothing else
Individuals who purchased at least one of any 'red' product or purchased at least one pair of 'shoes'

Answer(s): A

Explanation:

When creating a segment on an individual, using two separate containers linked by an AND means that the individual must satisfy both the conditions in the containers. In this case, the individual must have purchased at least one product with the color attribute equal to `red' and at least one product with the primary product category attribute equal to `shoes'. The products do not have to be the same or purchased in the same transaction. Therefore, the correct answer is A. The other options are incorrect because they imply different logical operators or conditions. Option B implies that the individual must have purchased a single product that has both the color attribute equal to `red' and the primary product category attribute equal to `shoes'. Option C implies that the individual must have purchased only one product that has both the color attribute equal to `red' and the primary product category attribute equal to `shoes' and no other products. Option D implies that the individual must have purchased either one product with the color attribute equal to `red' or one product with the primary product category attribute equal to `shoes' or both, which is equivalent to using an OR operator instead of an AND operator.

Reference:

Create a Container for Segmentation
Create a Segment in Data Cloud
Navigate Data Cloud Segmentation

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QUESTION: 15

What should an organization use to stream inventory levels from an inventory management system into Data Cloud in a fast and scalable, near-real-time way?

Cloud Storage Connector
Commerce Cloud Connector
Ingestion API
Marketing Cloud Personalization Connector

Answer(s): C

Explanation:

The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data. The Ingestion API supports both batch and streaming modes, and can handle up to 100,000 records per second. The Ingestion API also provides features such as data validation, encryption, compression, and retry mechanisms to ensure data quality and security.

Reference:

Ingestion API Developer Guide, Ingest Data into Data Cloud

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QUESTION: 16

Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new line of business. The new business specializes in gourmet camping food. For business reasons as well as security reasons, it's important to NTO to keep all Data Cloud data separated by brand.
Which capability best supports NTO's desire to separate its data by brand?

Data streams for each brand
Data model objects for each brand
Data spaces for each brand
Data sources for each brand

Answer(s): C

Explanation:

Data spaces are logical containers that allow you to separate and organize your data by different criteria, such as brand, region, product, or business unit. Data spaces can help you manage data access, security, and governance, as well as enable cross-cloud data integration and activation. For NTO, data spaces can support their desire to separate their data by brand, so that they can have different data models, rules, and insights for their outdoor lifestyle clothing and gourmet camping food businesses. Data spaces can also help NTO comply with any data privacy and security regulations that may apply to their different brands. The other options are incorrect because they do not provide the same level of data separation and organization as data spaces. Data streams are used to ingest data from different sources into Data Cloud, but they do not separate the data by brand. Data model objects are used to define the structure and attributes of the data, but they do not isolate the data by brand. Data sources are used to identify the origin and type of the data, but they do not partition the data by brand.

Reference:

Data Spaces Overview, Create Data Spaces, Data Privacy and Security in Data Cloud, Data Streams Overview, Data Model Objects Overview, [Data

Sources Overview]

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Free Data-Cloud-Consultant Exam Braindumps (page: 5)

QUESTION: 13

Explanation:

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QUESTION: 14

Explanation:

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QUESTION: 15

Explanation:

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QUESTION: 16

Explanation:

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