Salesforce
Analytics-Con-202
Salesforce Certified Tableau Next Consultant
Exam Version: 6.0
Questions & Answers PDF
(Demo Version - Limited Content)
For More Information - Visit link below:
https://p2pexam.com/analytics-con-202
, Question 1. (Single Select)
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. (Single Select)
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
https://p2pexam.com/analytics-con-202 Page 2 of 11
Analytics-Con-202
Salesforce Certified Tableau Next Consultant
Exam Version: 6.0
Questions & Answers PDF
(Demo Version - Limited Content)
For More Information - Visit link below:
https://p2pexam.com/analytics-con-202
, Question 1. (Single Select)
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. (Single Select)
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
https://p2pexam.com/analytics-con-202 Page 2 of 11
