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Analytics-Con-202 | Build Stronger Data Analytics Skills

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Prepare for Analytics-Con-202 by developing a stronger understanding of data analytics concepts and techniques. Review essential topics, practice analytical thinking, and build a structured approach to certification preparation.

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Salesforce
Analytics-Con-202
Salesforce Certified Tableau Next Consultant




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Question: 1
A Tableau Next Consultant is asked to configure batch data transforms. Where is the output written?

A. Data Lake Object (DLO).
B. Data Stream Object (DSO).
C. Semantic Model (SDM).


Answer: A
Explanation:
Data Lake Object (DLO) is the correct answer among the available choices. A Data 360 Batch Data
Transform requires an Output node where the transformed results are persisted. Salesforce documents
that a Batch Data Transform can write its results to a new or existing target Data Lake Object, which can
subsequently serve as input to identity resolution, calculated insights, segmentation, semantic
modeling, or additional transforms.
A Data Stream Object is not the destination used to persist transformed output. Data streams provide
ingestion pipelines that bring source data into Data 360. A Semantic Data Model is also not the physical
output storage target; Tableau Semantics consumes governed Data 360 objects to provide measures,
dimensions, relationships, calculations, and business context.
Data Setup - > Data 360 - > Batch Data Transforms - > Output Nodes - > Data Lake Objects.

Question: 2
A Tableau Next Consultant needs to explicitly define an inner join between two data objects to create a
new, single abstract table for their semantic model. Which feature should the consultant use?

A. Logical View
B. Standard Relationship
C. Calculated Insight


Answer: A
Explanation:
A Logical View is the correct feature when the consultant needs to combine multiple data objects
through an explicitly defined join and expose the resulting structure as a single reusable semantic
object. Salesforce defines a logical view as a data object that combines multiple underlying objects using
joins or unions rather than standard semantic relationships. The resulting logical view can then
participate in relationships, calculated fields, metrics, and other semantic definitions as though it were
an ordinary data object.
This distinction is fundamental. A standard relationship keeps the participating objects logically separate
and describes how Tableau Semantics should traverse between them during query generation. It does




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