Free Salesforce-Data-Cloud: Salesforce Data Cloud Accredited Professional Exam Questions and Answers

Northern Trail Outfitters (NTO) data scientists trained a customer churn model in Amazon SageMaker. NTO wants the churn score for each customer to be available on unified profiles in Data 360 so marketers can build segments on it. What should the consultant recommend?

• AA. Create a Calculated Insight that reproduces the model logic in SQL and schedules it daily
• BB. Connect the SageMaker model in Einstein Studio and write its predictions to a Data Model Object
• CC. Build a Batch Data Transform that joins churn history to the Unified Individual DMO
• DD. Add a custom match rule to the Identity Resolution ruleset that ranks profiles by churn risk

A retailer tells customers at sign-up exactly which personal data it collects and how that data will be used in marketing. Which data ethics principle does this practice demonstrate?

• AA. Transparency
• BB. Data minimization
• CC. Data portability
• DD. Accountability

A Data Stream from Amazon S3 did not load the expected number of records last night. Where can an administrator review the status, record counts and errors of each run for that Data Stream?

• AA. Setup Audit Trail
• BB. Debug Logs in the Developer Console
• CC. Refresh History on the Data Stream record
• DD. The Data Explorer tab

Which Data 360 feature is used to define a metric such as customer lifetime value by running a SQL expression across multiple Data Model Objects on a schedule?

• AA. Identity Resolution ruleset
• BB. Streaming Insight
• CC. Calculated Insight
• DD. Batch Data Transform

NTO runs a flash sale and needs the membership of its Sale Shoppers segment refreshed every hour so offers reach new shoppers quickly. The segment currently uses Standard Publish and refreshes only every 12 or 24 hours. What should the consultant recommend?

• AA. Create a Streaming Insight that counts shoppers and use it as the segment
• BB. Change the publish schedule of the segment to every 4 hours
• CC. Recreate the segment on a Data Graph so it refreshes in real time
• DD. Switch the segment to Rapid Publish

NTO's analytics team uses Snowflake and wants to query the Unified Individual and Sales Order Data Model Objects in place, without creating copies of the data. NTO also has a custom web app that must retrieve unified profile attributes for a customer by ID. Which two actions should the consultant recommend? (Choose 2 answers)

Select 2 answers.

• AA. Activate the Data Model Objects to an Amazon S3 Activation Target nightly and load the files into Snowflake
• BB. Call the Data 360 Profile API from the web app to retrieve unified profile attributes
• CC. Create a Data Stream sourced from the Snowflake tables and map them to the Data Model Objects
• DD. Create a data share of the Data Model Objects and link it to the Snowflake account

An administrator needs to create a Streaming Data Transform. How is the transformation logic defined?

• AA. By writing an Apex trigger on the Data Lake Object
• BB. By dragging nodes onto a canvas in the visual editor
• CC. By writing a SQL statement in the Data Transform editor
• DD. By creating a formula field in the Data Stream field mapping

Northern Trail Outfitters (NTO) ingests loyalty member records from its point-of-sale system and its mobile app. The two sources use different Individual Ids and share no email address or phone number, but both store the same loyalty number for each member. The consultant wants these records resolved into one Unified Individual. What should the consultant do?

• AA. Map the loyalty number to the Individual Id field of the Individual DMO in both Data Streams and add an Exact Individual Id match rule
• BB. Build a Calculated Insight on the loyalty number and use it as the primary key of both Data Streams
• CC. Map the loyalty number to the Email field of the Contact Point Email DMO in both Data Streams and add an Exact Email match rule
• DD. Map the loyalty number to the Party Identification DMO in both Data Streams and add a match rule on Party Identification

The data science team at Northern Trail Outfitters trained a churn prediction model in Amazon SageMaker. The marketing team wants the churn score for each Unified Individual available in Data 360 so it can be used in segment filters. The model must not be rebuilt in Data 360. What should the consultant recommend?

• AA. Create a Streaming Insight on engagement data to calculate the churn score for every incoming event
• BB. Create a Calculated Insight that calls the SageMaker endpoint URL and returns the churn score as a measure
• CC. Connect the SageMaker model through Einstein Studio and write its predictions to a DMO for use in segmentation
• DD. Ground a Prompt Builder template with the churn score and reference the template in the segment filter

The data science team at Universal Containers works in Databricks and needs to analyze Data 360 unified profiles and segment membership in place. The team does not want copies of the data to maintain or scheduled exports to monitor. Which capability should the consultant use?

• AA. A Data Action that posts each profile change to a Databricks webhook
• BB. A daily Activation to an Amazon S3 Cloud File Storage Activation Target
• CC. A Zero-Copy data share from Data 360 to the Databricks workspace
• DD. A Bulk Ingestion API job scheduled from Databricks every night