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Salesforce Data-Cloud-Consultant證照資訊：Salesforce Certified Data Cloud Consultant考試—100％免費

你已經報名參加Salesforce的Data-Cloud-Consultant認證考試了嗎？“馬上就要到考試的時間了，但是我還是沒有信心通過考試，應該怎麼辦呢？有捷徑可以讓我順利通過考試嗎？看參考書的時間也不夠了。”你現在有這樣的心情嗎？不用著急，即使考試時間快到了，也還是有機會可以好好準備考試的。你肯定想問是什麼機會了吧。它就是Fast2test的Data-Cloud-Consultant考古題。這是一個高效率的資料，它可以在短時間內為考試做好準備。因為這個考古題的命中率非常高，只要你認真記住考古題裏面出現的問題和答案，那麼你就可以通過Data-Cloud-Consultant考試。

Salesforce Data-Cloud-Consultant 考試大綱：

主題
簡介

主題 1

Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.

主題 2

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.

主題 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.

主題 4

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.

>> Data-Cloud-Consultant證照資訊 <<

Data-Cloud-Consultant認證指南 & Data-Cloud-Consultant最新考古題

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最新的 Salesforce Data Cloud Data-Cloud-Consultant 免費考試真題 (Q125-Q130):

問題 #125
Cumulus Financial is experiencing delays in publishing multiple segments simultaneously. The company wants to avoid reducing the frequency at which segments are published, while retaining the same segments in place today.
Which action should a consultant take to alleviate this issue?

A. Enable rapid segment publishing to all to segment to reduce generation time.
B. Reduce the number of segments being published.
C. Adjust the publish schedule start time of each segment to prevent overlapping processes.
D. Increase the Data Cloud segmentation concurrency limit.

答案：C

問題 #126
A customer has multiple team members who create segment audiences that work in different time zones. One team member works at the home office in the Pacific time zone, that matches the org Time Zone setting. Another team member works remotely in the Eastern time zone.
Which user will see their home time zone in the segment and activation schedule areas?

A. Neither team member; Data Cloud shows all schedules in GMT.
B. The team member in the Pacific time zone.
C. The team member in the Eastern time zone.
D. Both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user

答案：D

解題說明：
The correct answer is D, both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user. Data Cloud uses the time zone settings of the logged-in user to display the segment and activation schedules. This means that each user will see the schedules in their own home time zone, regardless of the org time zone setting or the location of other team members. This feature helps users to avoid confusion and errors when scheduling segments and activations across different time zones. The other options are incorrect because they do not reflect how Data Cloud handles time zones. The team member in the Pacific time zone will not see the same time zone as the org time zone setting, unless their personal time zone setting matches the org time zone setting. The team member in the Eastern time zone will not see the schedules in the org time zone setting, unless their personal time zone setting matches the org time zone setting. Data Cloud does not show all schedules in GMT, but rather in the user's local time zone. Reference:
Data Cloud Time Zones
Change default time zones for Users and the organization
Change your time zone settings in Salesforce, Google & Outlook
DateTime field and Time Zone Settings in Salesforce

問題 #127
Which permission setting should a consultant check if the custom Salesforce CRM object is not available in New Data Stream configuration?

A. Confirm the Ingest Object permission is enabled in the Salesforce CRM org.
B. Confirm the View All object permission is enabled in the source Salesforce CRM org.
C. Confirm the Create object permission is enabled in the Data Cloud org.
D. Confirm that the Modify Object permission is enabled in the Data Cloud org.

答案：B

解題說明：
Explanation
To create a new data stream from a custom Salesforce CRM object, the consultant needs to confirm that the View All object permission is enabled in the source Salesforce CRM org. This permission allows the user to view all records associated with the object, regardless of sharing settings1. Without this permission, the custom object will not be available in the New Data Stream configuration2. References:
* Manage Access with Data Cloud Permission Sets
* Object Permissions

問題 #128
Which configuration supports separate Amazon S3 buckets for data ingestion and activation?

A. Multiple S3 connectors in Data Cloud setup
B. Dedicated S3 data sources in activation setup
C. Dedicated S3 data sources in Data Cloud setup
D. Separate user credentials for data stream and activation target

答案：C

解題說明：
To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are used to identify the origin and type of the data that you ingest into Data Cloud1. You can create different data sources for each S3 bucket that you want to use for ingestion or activation, and specify the bucket name, region, and access credentials2. This way, you can separate and organize your data by different criteria, such as brand, region, product, or business unit3. The other options are incorrect because they do not support separate S3 buckets for data ingestion and activation. Multiple S3 connectors are not a valid configuration in Data Cloud setup, as there is only one S3 connector available4. Dedicated S3 data sources in activation setup are not a valid configuration either, as activation setup does not require data sources, but activation targets5. Separate user credentials for data stream and activation target are not sufficient to support separate S3 buckets, as you also need to specify the bucket name and region for each data source2. References: Data Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams Overview, Data Activation Overview

問題 #129
A consultant is working in a customer's Data Cloud org and is asked to delete the existing identity resolution ruleset.
Which two impacts should the consultant communicate as a result of this action?
Choose 2 answers

A. Unified customer data associated with this ruleset will be removed.
B. All source profile data will be removed
C. Dependencies on data model objects will be removed.
D. All individual data will be removed.

答案：A,C

解題說明：
Deleting an identity resolution ruleset has two major impacts that the consultant should communicate to the customer. First, it will permanently remove all unified customer data that was created by the ruleset, meaning that the unified profiles and their attributes will no longer be available in Data Cloud1. Second, it will eliminate dependencies on data model objects that were used by the ruleset, meaning that the data model objects can be modified or deleted without affecting the ruleset1. These impacts can have significant consequences for the customer's data quality, segmentation, activation, and analytics, so the consultant should advise the customer to carefully consider the implications of deleting a ruleset before proceeding. The other options are incorrect because they are not impacts of deleting a ruleset. Option A is incorrect because deleting a ruleset will not remove all individual data, but only the unified customer data. The individual data from the source systems will still be available in Data Cloud1. Option D is incorrect because deleting a ruleset will not remove all source profile data, but only the unified customer data. The source profile data from the data streams will still be available in Data Cloud1. Reference: Delete an Identity Resolution Ruleset

問題 #130
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Data-Cloud-Consultant認證指南: https://tw.fast2test.com/Data-Cloud-Consultant-premium-file.html