Data-Cloud-Consultant無料問題集「Salesforce Certified Data 360 Consultant (Data-Con-101)」

質問 1

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）Party Identification Object

（B）Data Model Object

（C）Calculated Insight Object

（D）Data Lake Object

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 2

A luxury travel company wants to optimize its high-value customer retention strategy. The marketing team requires a predictive insight that estimates the total dollar amount a unified profile is likely to spend on bookings over the next 12 months. This prediction will be used to prioritize concierge service assignments.
Which native model type should a Data 360 Consultant select in Einstein Studio to predict this outcome?

（A）Binary model

（B）Foundational model

（C）Regression model

（D）Multiclass model

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

Northern Trail Outfitters has ingested customer profile data and related email engagement data from two separate marketing systems. Both systems use the same customer identifier. Which feature should a Data 360 Consultant implement to ensure that engagement records are accurately associated with the correct source profile and avoid misinterpretation of the related engagement data?

（A）Identity Resolution Reconciliation Rules

（B）Profile Unification Rules

（C）Fully Qualified Keys

（D）Identity Resolution Match Rules

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 4

A Data 360 Consultant has successfully ingested and mapped a custom schema for " Vehicle Insurance Policies " into a custom data model object (DMO) named Insurance_Policy__c. However, when a marketer attempts to create a new segment on the Individual object, the Insurance_Policy__c object is not accessible in Segment Builder.
What is the most likely reason for this behavior?

（A）The fields in the Insurance_Policy__c DMO have not had value suggestions enabled.

（B）There is no relationship defined between the Insurance_Policy__c DMO and the Individual DMO.

（C）The relationship between the DMOs was configured as Many-to-One instead of One-to-Many.

（D）The Insurance_Policy__c DMO was not enabled for segmentation.

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 5

A Data 360 Consultant has a large historical dataset stored in Snowflake as parquet files in an object store.
The consultant needs to run heavy analytics queries periodically, with high throughput but not necessarily real- time needs. Which Data 360 pattern is most appropriate?

（A）Query federation without acceleration (Live or Direct Access)

（B）Query federation with acceleration (Caching)

（C）File federation

（D）Ingest data into Data 360 as a data lake object (DLO)

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 6

What does the Source Sequence reconciliation rule do in Identity Resolution?

（A）Identifies which data sources should be used in the process of reconciliation by prioritizing the most recently updated data source

（B）Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources

（C）Includes data from sources where the data is most frequently occurring

（D）Sets the priority of specific data sources when building attributes in a unified profile, such as a first or last name

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 7

Northern Trail Outfitters (NTO) wants to connect its B2C Commerce data with Data 360 and bring 2 years of transactional history into Data 360. What should NTO use to achieve this?

（A）B2C Commerce Starter Bundles plus a custom extract

（B）Sales Product object ingestion

（C）Sales Order object ingestion

（D）B2C Commerce Starter Bundles

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

Data-Cloud-Consultant 無料問題集「Salesforce Certified Data 360 Consultant (Data-Con-101)」

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