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Salesforce Data-Con-101 Prüfungsplan:

Thema	Einzelheiten
Thema 1	Identity Resolution: This domain explores creating unified customer profiles through matching and reconciliation processes. It covers how rule sets determine when records link together, how conflicting data is resolved, and understanding the outcomes and use cases of unified identities.
Thema 2	Data Ingestion and Modeling: This domain addresses bringing data into Data Cloud and structuring it properly through transformation, ingestion from various sources, and data mapping. It emphasizes best practices for modeling data to support identity resolution and validating ingested data using available tools.
Thema 3	Data Cloud Setup and Administration: This domain focuses on configuring and managing Data Cloud environments through permissions, data streams, data bundles, and data spaces. It also covers administrative tools and techniques for diagnosing and exploring data using reports, dashboards, flows, APIs, and explorer tools.
Thema 4	Data Cloud Overview: This domain covers the foundational understanding of Data Cloud including its core purpose, terminology, business value, and technical architecture. It also addresses typical use cases and the essential principles of ethical data handling when working with customer data.
Thema 5	Segmentation and Insights: This domain centers on creating audience segments and deriving analytical insights from Data Cloud. It includes configuring and maintaining segments, analyzing membership scenarios, and distinguishing between calculated insights and real-time streaming insights.

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Salesforce Data-Con-101 Examenskandidaten alle wissen, dass Salesforce Data-Con-101 Prüfung ist nicht leicht zu bestehen. Aber es ist auch der einzige Weg zum Erfolg, so dass sie die Prüfung ablegen müssen. Um Ihre Berufsaussichten zu verbessern, müssen Sie diese Zertifizierungsprüfung bestehen. Die Prüfungsfragen und Antworten zur Salesforce Data-Con-101 Zertifizierung von ITZert enthalten verschiedene gezielte und breite Wissensgebiete. Es gibt keine anderen Bücher oder Materialien, die ihr überlegen sind. ITZert wird sicher Ihnen helfen, diese Salesforce Data-Con-101 Prüfung zu bestehen. Die Untersuchung zeigt sich, dass die Erfolgsquote von ITZert 100% beträgt. ITZert ist die einzige Methode, die Ihen zum Bestehen der Salesforce Data-Con-101 Prüfung hilft. Wenn Sie ITZert wählen, wartet eine schöne Zukunft auf Sie da.

Salesforce Certified Data Cloud Consultant Data-Con-101 Prüfungsfragen mit Lösungen (Q118-Q123):

118. Frage
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?

A. The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
B. After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.
C. The Salesforce Integration User Is missing Rad permissions on the newly created field.
D. Custom fields on the Case object are not supported for ingesting into Data Cloud.

Antwort: C

Begründung:
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams

119. Frage
A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number.
To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats.
What is the most efficient way to guarantee that the various phone number formats are standardized?

A. Edit and update the data in the source system prior to sending to Data Cloud.
B. Create a calculated insight after ingestion.
C. Assign the PhoneNumber field type when creating the data stream.
D. Create a formula field to standardize the format.

Antwort: C

Begründung:
The most efficient way to guarantee that the various phone number formats are standardized is to assign the PhoneNumber field type when creating the data stream. The PhoneNumber field type is a special field type that automatically converts phone numbers into the E164 format, which is the international standard for phone numbers. The E164 format consists of a plus sign (+), the country code, and the national number. For example, +1-202-555-1234 is the E164 format for a US phone number. By using the PhoneNumber field type, the consultant can ensure that the phone numbers are consistent and can be used for future SMS campaigns.
The other options are either more time-consuming, require manual intervention, or do not address the formatting issue. References: Data Stream Field Types, E164 Phone Number Format, Salesforce Data Cloud Exam Questions

120. Frage
Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?

A. Direct Sales Product entity ingestion
B. B2C Commerce Starter Bundles
C. B2C Commerce Starter Bundles plus a custom extract
D. Direct Sales Order entity ingestion

Antwort: C

Begründung:
The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:
A). B2C Commerce Starter Bundles only ingest the last 90 days of data by default.
B). Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.
C). Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion. References: Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector - Salesforce, Salesforce B2C Commerce Pricing Plans & Costs

121. Frage
Which information is provided in a .csv file when activating to Amazon S3?

A. The metadata regarding the segment definition
B. The activated data payload
C. The manifest of origin sources within Data Cloud
D. An audit log showing the user who activated the segment and when it was activated

Antwort: B

Begründung:
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to the activation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab. References: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]

122. Frage
What is the result of a segmentation criteria filtering on City | Is Equal To | 'San Jose'?

A. Cities containing 'San Jose', 'San Jose', 'san jose', or 'san jose'
B. Cities only containing 'San Jose' or 'San Jose'
C. Cities only containing 'San Jose' or 'san jose'
D. Cities only containing 'San Jose' or 'san jose'

Antwort: C

Begründung:
The result of a segmentation criteria filtering on City | Is Equal To | 'San Jose' is cities only containing 'San Jose' or 'san jose'. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter1. Therefore, cities containing 'San Jose', 'san jose', or 'San Jose' will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name 'San Jose', you would need to use the OR operator and add multiple filter values, such as 'San Jose' OR 'San Jose' OR 'san jose' OR 'san jose'
2. References: Segmentation Criteria, Segmentation Operators

123. Frage
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