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Salesforce Data-Con-101 考試大綱：

主題	簡介
主題 1	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.
主題 2	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.
主題 3	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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最新的 Salesforce Data Cloud Data-Con-101 免費考試真題 (Q60-Q65):

問題 #60
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud.
In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?

A. Calculated Insight > Refresh Data Stream > Identity Resolution
B. Refresh Data Stream > Calculated Insight > Identity Resolution
C. Refresh Data Stream > Identity Resolution > Calculated Insight
D. Identity Resolution > Refresh Data Stream > Calculated Insight

答案：C

解題說明：
To ensure that freshly imported data from an Amazon S3 Bucket is ready and available to use for any segment, the following processes should be run in this order:
Refresh Data Stream: This process updates the data lake objects in Data Cloud with the latest data from the source system. It can be configured to run automatically or manually, depending on the data stream settings1.
Refreshing the data stream ensures that Data Cloud has the most recent and accurate data from the Amazon S3 Bucket.
Identity Resolution: This process creates unified individual profiles by matching and consolidating source profiles from different data streams based on the identity resolution ruleset. It runs daily by default, but can be triggered manually as well2. Identity resolution ensures that Data Cloud has a single view of each customer across different data sources.
Calculated Insight: This process performs calculations on data lake objects or CRM data and returns a result as a new data object. It can be used to create metrics or measures for segmentation or analysis purposes3.
Calculated insights ensure that Data Cloud has the derived data that can be used for personalization or activation.
1: Configure Data Stream Refresh and Frequency - Salesforce
2: Identity Resolution Ruleset Processing Results - Salesforce
3: Calculated Insights - Salesforce

問題 #61
Which consideration related to the way Data Cloud ingests CRM data is true?

A. The CRM Connector's synchronization times can be customized to up to 15-minute intervals.
B. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization,
C. Formula fields are refreshed at regular sync intervals and are updated at the next full refresh.
D. The CRM Connector allows standard fields to stream into Data Cloud in real time.

答案：D

解題說明：
The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation1.
The other options are incorrect for the following reasons:
A). CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.
B). The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not 15- minute intervals3. This option is false.
C). Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered. This option is false.
1: Connect and Ingest Data in Data Cloud article on Salesforce Help
2: Data Sources in Data Cloud unit on Trailhead
3: Data Cloud for Admins module on Trailhead
4: [Formula Fields in Data Cloud] unit on Trailhead
[Data Streams in Data Cloud] unit on Trailhead

問題 #62
Northern Trail Outfitters asks its consultant to extract the runner profiles and activity logs from its Track My Run mobile app and load them into Data Cloud. The marketing department also indicates that they need the last 90 days of historical data and want all new and updated data as it becomes available on a go-forward basis.
As best practice, which sequence of actions should the consultant use to implement this request?

A. Use bulk ingestion to first load the last 90 days of data, and then use streaming ingestion to synchronize future data as It becomes available.
B. Use streaming ingestion to first load the last 90 days of data, and then use bulk Ingestion to synchronize future data as It becomes available.
C. Use streaming ingestion to first load the last 90 days of data, and also subsequently use streaming ingestion synchronize future data as It becomes available.
D. Use bulk ingestion to first load the last 90 days of data, and also subsequently use bulk ingestion to synchronize the future data as It becomes available.

答案：A

解題說明：
Initial Data Load: For loading large volumes of historical data, such as the last 90 days of runner profiles and activity logs, bulk ingestion is the most efficient method. It allows for high-throughput data transfer.
Bulk Ingestion: Use Salesforce Data Cloud's bulk ingestion tools to load the historical data quickly and efficiently.
Ongoing Data Synchronization: To keep the Data Cloud updated with new and modified records as they become available in the Track My Run mobile app, streaming ingestion is appropriate. It ensures near-real- time data updates.
Streaming Ingestion: Configure streaming ingestion to continuously update the Data Cloud with new and updated data from the mobile app.
Sequence of Actions:
Step 1: Perform bulk ingestion to import the last 90 days of historical data into Data Cloud.
Step 2: Set up streaming ingestion to handle ongoing updates and new data as it becomes available.
Best Practice: This approach ensures that the initial large data load is handled efficiently, and ongoing updates are processed in near real-time, providing the marketing department with the most up-to-date data.
References:
Salesforce Data Cloud Ingestion Methods
Salesforce Bulk Data Ingestion
Salesforce Streaming Data Ingestion

問題 #63
How does Data Cloud handle an individual's Right to be Forgotten?

A. Deletes the records from all data source objects, and any downstream data model objects are updated at the next scheduled ingestion
B. Deletes the specified Individual record and its Unified Individual Link record.
C. Deletes the specified Individual and records from any data source object mapped to the Individual data model object.
D. Deletes the specified Individual and records from any data model object/data lake object related to the Individual.

答案：D

解題說明：
Data Cloud handles an individual's Right to be Forgotten by deleting the specified Individual and records from any data model object/data lake object related to the Individual. This means that Data Cloud removes all the data associated with the individual from the data space, including the data from the source objects, the unified individual profile, and any related objects. Data Cloud also deletes the Unified Individual Link record that links the individual to the source records. Data Cloud uses the Consent API to process the Right to be Forgotten requests, which are reprocessed at 30, 60, and 90 days to ensure a full deletion.
The other options are not correct descriptions of how Data Cloud handles an individual's Right to be Forgotten. Data Cloud does not delete the records from all data source objects, as this would affect the data integrity and availability of the source systems. Data Cloud also does not delete only the specified Individual record and its Unified Individual Link record, as this would leave the source records and the related records intact. Data Cloud also does not delete only the specified Individual and records from any data source object mapped to the Individual data model object, as this would leave the related records intact.
Requesting Data Deletion or Right to Be Forgotten
Data Deletion for Data Cloud
Use the Consent API with Data Cloud
Data and Identity in Data Cloud

問題 #64
A user is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?

A. Value suggestion requires Data Aware Specialist permissions at a minimum.
B. Value suggestion can only work on direct attributes and not related attributes.
C. Value suggestion will only return result for the first 50 values of a specific attribute.
D. Value suggestion is still processing and to be available.

答案：D

解題說明：
Value suggestion is a feature that allows users to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature can take up to 24 hours to process and display the values for newly-modeled data. Therefore, if a user is not seeing suggested values from newly-modeled data, it is likely that the value suggestion is still processing and will be available soon. The other options are incorrect because value suggestion does not require any specific permissions, can work on both direct and related attributes, and can return more than 50 values for a specific attribute, depending on the data type and frequency of the values. References: Use Value Suggestions in Segmentation, Data Cloud Limits and Guidelines

問題 #65
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Data-Con-101 認證是互聯網界具有極大聲望的網路技能認證，在全球，通過IBM認證考試的工程師，平均年薪在10萬元以上。通過 HP 認證考試的工程師，平均年薪在30萬元以上。獲得 Salesforce 的 Data-Con-101 認證的工程師，平均年薪也不低於20萬人民幣。據說，這還只是基本工資，不包括獎金，紅利和其他非工資性補貼。難怪美國副總統戈爾曾把 Salesforce Data-Con-101 認證恰當而幽默地稱為“獲得高技術，高薪水的頭等艙船票”。

Data-Con-101最新題庫: https://www.vcesoft.com/Data-Con-101-pdf.html

從Google Drive中免費下載最新的VCESoft Data-Con-101 PDF版考試題庫：https://drive.google.com/open?id=1TvX_I3m6mlTZKATIcfGulLb66OwsdKl8