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CRMA & Einstein Discovery Exam Prep 2026/2027 | Actual Exam Questions & Verified Answers | GRADED A+

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This exam preparation resource is designed to help candidates successfully pass the CRMA (CRM Analytics) and Einstein Discovery exams for 2026/2027, using realistic, exam-style questions with fully verified solutions aligned to Salesforce best practices. The material focuses on CRM Analytics app access control, role hierarchy design, permission management, and data ingestion using the External Data API, including common exam scenarios involving viewer vs editor access, superuser configuration, public groups, and data modeling issues in lenses. Candidates will gain clarity on why measures may appear as dimensions, the role of JSON metadata files in External Data API uploads, and how Salesforce Analytics interprets data types, ensuring accurate analysis and correct exam responses. This resource is ideal for Salesforce consultants, CRM Analytics professionals, and certification candidates preparing for official Salesforce exams.

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CRMA AND EINSTEIN DISCOVERY EXAM PREP 2026/2027
QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS
VERIFIED LATEST UPDATE GRADED A+


Universal Containers is setting
up a Sales Analytics app to


A track the sales performance
across all regions. The role
hierarchy is well-structured
with separate branches for
various global regions.
Viewer access has been
provided to the regional sales
reps based on the following
roles.
* Regional Sales - APAC
* Regional Sales - EMEA
* Regional Sales - LATAM
* Regional Sales - NA
The CRM Analytics project
team receives a request to
extend Editor
access to the app to 20
'Superusers' across all regions.
What is the optimal

,solution?
A. Create a new public group with
these users and assign it the
Editor app access.
B. Create new roles for these
users and assign them the
Editor app access.
C. Create a new sharing rule for
these users and assign it the
Editor app access.

A CRM Analytics consultant at
Cloud Kicks is trying to


A upload data using an External
Data API and the CSV file
with the data was uploaded
successfully. Upon analyzing the
data using a lens, they find
they are unable to perform any
mathematical operations as all
the data and fields are
treated as dimensions.
What is causing the problem?
A.JSON metadata file was not
uploaded along with the CSV
data file.
B.The field value added in the
CSV file was contained within
double quotes.

,C.Proper transformations need
to be performed at the external
source prior to External Data
API callout.

Universal Containers has a
single dataset that contains


B the attainment and
commission fields for all sales
reps.
Each sales rep should be able
view the attainment data for
each rep in their division.
Each rep should only be
able to see their own commission data.
Which option should a CRM
Analytics consultant use to
enforce this requirement?
A.Utilize a single dataset and
apply security predicates and/or
sharing inheritance.
B.Create separate datasets for
attainment and commission,
and apply security Predicates
and/or sharing inheritance.
C.Add the sales organization to
the attainment dataset access
list to be able to view
commission data.

, A CRM Analytics consultant has
been asked to add a


A custom object to existing
recipe. When trying to locate
the object, the consultant can
see only Direct Data and NOT
the SFDC Local data sync.
How should the consultant resolve this?
A.Turn on data syne for the
object, run the sync, and then
add to recipe.
B.Clone the recipe, add the new
object to the recipe, and run
the recipe.
C.Create a new data sync
connection, run the sync, and
add to recipe.

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Geüpload op
1 februari 2026
Aantal pagina's
91
Geschreven in
2025/2026
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