Northern Trail Outfitters (NTO) has a machine learning (ML) model trained externally in Amazon SageMaker to predict customer churn, and wants to use that model ' s inference inside Data 360 without duplicating data.
What should NTO do to achieve this?
A. Connect the trained model in Data 360 in Bring Your Own Model (BYOM).
B. Consume the predictions from the external platform as a data lake object (DLO).
C. Use an out-of-the-box Einstein Studio customer churn predictive model.
D. Use built-in Data 360 Calculated Insights.
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
質問 2:
A Data 360 Consultant is setting up a data stream with transactional data. Which field type should the consultant choose to ensure that leading zeros in the purchase order number are preserved?
A. Number
B. Serial
C. Decimal
D. Text
正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 3:
A solution architect needs to create a segment of " High Value Customers " . They define this as anyone who qualifies for the existing Platinum Loyalty segment OR anyone who has spent more than US $5,000. What is the most efficient way to build this?
A. Create a waterfall segment, prioritizing the " Platinum Loyalty " group first and the " High Spender " group second.
B. Use a nested segment for " Platinum Loyalty " and add a separate container for the minimum spend within OR operator.
C. Build a calculated insight that joins both conditions and use that as the only filter in a new segment.
D. Create two separate segments and join them together in a Tableau dashboard for activation.
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 4:
When reporting on calculated insights in Salesforce, what is a critical limitation a Data 360 Consultant must keep in mind regarding data freshness?
A. Calculated insights are only updated once every 24 hours.
B. The data reflects the state of the last time the insight was batch processed.
C. Calculated insights can only be reported on if they contain fewer than 2,000 total rows.
D. Insights are only available in reports if they have been " Activated " to a Marketing Cloud engagement.
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 5:
A Data 360 Consultant for a high- growth retail brand is configuring the ingestion of customer behavioral data from a mobile application. The brand requires that the raw, unmodified data be stored exactly as it appears in the source system before any mapping or transformations occur to maintain a historical record of the transmission. Which object serves as the container of this source data in Data 360?
A. Data Lake Object
B. Data Model Object
C. Party Identification Object
D. Calculated Insight Object
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
質問 6:
What is a Data 360 use case for improving the patient experience in the Healthcare and Life Sciences sector?
A. Managing the payroll of visiting physicians via a custom mobile app
B. Automating the retail checkout process in hospital gift shops
C. Using data to predict the best location for which hospital the patient should visit
D. Activating a Unified Health Score to provide a holistic view of patient wellness and engagement
正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 7:
Cumulus Financial needs to create a composite key on an incoming data source that combines the fields Customer Region and Customer Identifier. Which formula function should a Data 360 Consultant use to create a composite key when a primary key is not available in a data stream?
A. COMBINE
B. CONCAT
C. CAST
D. COALESCE
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 8:
A Data 360 Consultant recently discovered that their Identity Resolution process is matching individuals who share email addresses or phone numbers but are not actually the same individual. What should the consultant do to address this issue?
A. Modify the existing ruleset with stricter matching criteria, run the ruleset and review the updated results, and then adjust as needed until the individuals are matching correctly.
B. Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
C. Create and run a new ruleset with fewer matching rules, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
D. Modify the existing ruleset to use fewer matching rules, run the ruleset and review the updated results, and then adjust as needed until the individuals are matching correctly.
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 9:
Northern Trail Outfitters (NTO) is ingesting transaction data into Data 360. The source data includes Order ID, Order Date, and Total Amount, which map to the standard Sales Order data model object (DMO).
Additionally, NTO needs to capture a unique Sustainability Packaging Fee for each transaction, which is not available in the standard model. Which modeling approach should a Data 360 Consultant recommend to support this requirement?
A. Map standard fields to the Sales Order DMO and add a custom attribute for the fee.
B. Create a calculated model to derive the sustainability fee using a streaming data transform.
C. Map all fields to a new Custom DMO specifically created for NTO transactions.
D. Use Sales Order DMO and map the packaging fee to the Order Description field.
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
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福田** -
Pass4Testさんには本当にお世話になってます。おかげでData-Cloud-Consultantを無事合格して就職始めました。これからも宜しくお願いします。