Data-Con-101 sample questions

Question 1

A consultant is designing a data ingestion strategy for a retail client who needs to bring in historical transaction data from an AWS S3 bucket. The data is approximately 50 GB in size and consists of CSV files. The client requires this data to be available in Data Cloud for segmentation within 24 hours. Which ingestion method provides the most efficient and reliable path for this specific requirement?

Accepted Answer

Use the Cloud Storage Connector to define a data stream for the S3 bucket.

Answer

Utilize the Ingestion API to push the CSV data record-by-record.

Answer

Implement a MuleSoft Anypoint connector to stream the data in real-time.

Answer

Upload the CSV files manually via the Data Import Wizard in Salesforce Setup.

Question 2

A Data Cloud consultant is configuring Identity Resolution for a banking client. The client has three sources of customer data: Core Banking (High Trust), Credit Card System (Medium Trust), and Marketing Leads (Low Trust). When merging the 'Email Address' field, the requirement is to always prefer the value from Core Banking if it exists; otherwise, use the Credit Card System, and finally the Marketing Leads. Which reconciliation rule should be applied?

Accepted Answer

Source Priority

Answer

Most Frequent

Answer

Last Updated

Answer

Aggregation

Question 3

Which of the following objects in the Data Cloud data model is strictly non-materialized and acts as a view on top of Data Lake Objects (DLOs) during the harmonization process?

Accepted Answer

Data Model Object (DMO)

Answer

Calculated Insight Object (CIO)

Answer

Data Source Object (DSO)

Answer

Unified Individual Object

Question 4

A company wants to calculate the 'Lifetime Value' (LTV) of their customers. This calculation requires aggregating transaction data over the last 5 years. Which Data Cloud feature is designed to perform this complex aggregation and make the metric available for segmentation?

Accepted Answer

Calculated Insights

Answer

Streaming Transforms

Answer

Batch Data Transforms

Answer

Flow Orchestration

Question 5

True or False: In Data Cloud, a single Data Stream can populate multiple Data Model Objects (DMOs) directly without the use of a data transform.

Accepted Answer

True

Answer

False

Question 6

A consultant is troubleshooting a segmentation issue where recent purchases are not appearing in the target segment. The data stream is active, and the data model is mapped. Upon investigation, the consultant notices that the 'Data Transforms' used to clean the data run on a schedule that does not align with the segment publication. What is the most likely cause of the data latency?

Accepted Answer

Batch Data Transforms process data asynchronously and must complete before the segment can consume the updated DMOs.

Answer

Segments in Data Cloud only update once every 24 hours regardless of underlying data changes.

Answer

The Identity Resolution ruleset needs to be manually triggered to recognize new purchase data.

Answer

Streaming data transforms are required for all segmentation activities.

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Free Data-Con-101 sample questions

Which of the following objects in the Data Cloud data model is strictly non-materialized and acts as a view on top of Data Lake Objects (DLOs) during the harmonization process?

A company wants to calculate the 'Lifetime Value' (LTV) of their customers. This calculation requires aggregating transaction data over the last 5 years. Which Data Cloud feature is designed to perform this complex aggregation and make the metric available for segmentation?

True or False: In Data Cloud, a single Data Stream can populate multiple Data Model Objects (DMOs) directly without the use of a data transform.

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