Data-Cloud-Consultant Detail Explanation & Data-Cloud-Consultant Valid Braindumps Book

Blog Article

Tags: Data-Cloud-Consultant Detail Explanation, Data-Cloud-Consultant Valid Braindumps Book, Data-Cloud-Consultant Actual Questions, Data-Cloud-Consultant Exam Study Solutions, Data-Cloud-Consultant Exam Fees

Our materials can make you master the best Data-Cloud-Consultant questions torrent in the shortest time and save your much time and energy to complete other thing. What most important is that our Data-Cloud-Consultant study materials can be download, installed and used safe. We can guarantee to you that there no virus in our product. Not only that, we also provide the best service and the best Data-Cloud-Consultant Exam Torrent to you and we can guarantee that the quality of our product is good. So please take it easy after the purchase and we won’t let your money be wasted.

Salesforce Data-Cloud-Consultant Exam Syllabus Topics:

Topic	Details
Topic 1	Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
Topic 2	Data Cloud Setup and Administration: This topic includes applying Data Cloud permissions, permission sets, org-wide settings. It describes and configures data stream types, and data bundles. Moreover, it discusses use cases for data spaces, creating data spaces, managing and administering Data Cloud using reports, dashboards, flows, packaging, data kits, diagnosing and exploring data using Data Explorer, Profile Explorer, and APIs.
Topic 3	Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.
Topic 4	Identity Resolution: It describes matching and how its rule sets are applied. Furthermore, it discusses reconciling data and its rule sets, the results of identity resolution, and use cases.
Topic 5	Data Ingestion and Modeling: This topic covers the different transformation capabilities within Data Cloud. It includes describing processes and considerations for data ingestion from various sources, defining, mapping, and modeling data using best practices aligned with identity resolution. Lastly, it discusses using available tools to inspect and validate ingested and modeled data.

>> Data-Cloud-Consultant Detail Explanation <<

Data-Cloud-Consultant Valid Braindumps Book & Data-Cloud-Consultant Actual Questions

Not only our Data-Cloud-Consultant study guide has the advantage of high-quality, but also has reasonable prices that are accessible for every one of you. So it is incumbent upon us to support you. On the other side, we know the consumers are vulnerable for many exam candidates are susceptible to ads that boost about Data-Cloud-Consultant skills their practice with low quality which may confuse exam candidates like you, so we are trying hard to promote our high quality Data-Cloud-Consultant study guide to more people.

Salesforce Certified Data Cloud Consultant Sample Questions (Q107-Q112):

NEW QUESTION # 107
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 Integration User Is missing Rad permissions on the newly created field.
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 Data Loader application should be used to perform a bulk upload from a desktop.
D. Custom fields on the Case object are not supported for ingesting into Data Cloud.

Answer: A

Explanation:
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. Reference: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams

NEW QUESTION # 108
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 remove duplicate rows of data from the data stream
C. To add a unique external identifier to an existing ruleset
D. To concatenate files so they are ingested in the correct sequence

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 # 109
What should a user do to pause a segment activation with the intent of using that segment again?

A. Stop the publish schedule.
B. Delete the segment.
C. Skip the activation.
D. Deactivate the segment.

Answer: D

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 time1. 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 undone2. 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 cycles3. 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 segment4. This option does not pause the segment activation completely.
References:
* 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

NEW QUESTION # 110
A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contact object in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ss values. The target field is set to Date datatype.
Which statement is true in this situation?

A. The target field will only hold the time part and ignore the date part.
B. The target field will only hold the date part and ignore the time part.
C. The target field will be able to hold both types of values.
D. The target field will throw an error and store null values.

Answer: B

Explanation:
Field Data Types: Salesforce CRM's Contact object fields can store data in various formats. When ingesting data into Salesforce Data Cloud, the target field's data type determines how the data is processed and stored.
Date Data Type: If the target field in Data Cloud is set to Date data type, it is designed to store date values without time information.
Mixed Format Values: When ingesting a field containing both date (yyyy-mm-dd) and datetime (yyyy-mm-dd hh:mm:ss) values into a Date data type field:
* The Date field will extract and store only the date part (yyyy-mm-dd), ignoring the time part (hh:mm:ss).
Result:
* Date Values: yyyy-mm-dd values are stored as-is.
* Datetime Values: yyyy-mm-dd hh:mm:ss values are truncated to yyyy-mm-dd, and the time component is ignored.
References:
* Salesforce Data Cloud Field Mapping
* Salesforce Data Types

NEW QUESTION # 111
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. Create a formula field to standardize the format.
B. Assign the PhoneNumber field type when creating the data stream.
C. Edit and update the data in the source system prior to sending to Data Cloud.
D. Create a calculated insight after ingestion.

Answer: B

Explanation:
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. Reference: Data Stream Field Types, E164 Phone Number Format, Salesforce Data Cloud Exam Questions

NEW QUESTION # 112
......

If you want to pass your exam and get your certification, we can make sure that our Data-Cloud-Consultant guide questions will be your ideal choice. Our company will provide you with professional team, high quality service and reasonable price. In order to help customers solve problems, our company always insist on putting them first and providing valued service. We are living in the highly competitive world now. We have no choice but improve our soft power, such as get Data-Cloud-Consultant Certification. It is of great significance to have Data-Cloud-Consultant guide torrents to pass exams as well as highlight your resume, thus helping you achieve success in your workplace.

Data-Cloud-Consultant Valid Braindumps Book: https://www.pass4guide.com/Data-Cloud-Consultant-exam-guide-torrent.html

Report this page

DATA-CLOUD-CONSULTANT DETAIL EXPLANATION & DATA-CLOUD-CONSULTANT VALID BRAINDUMPS BOOK

Data-Cloud-Consultant Detail Explanation & Data-Cloud-Consultant Valid Braindumps Book