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Pass Guaranteed Quiz CRM-Analytics-and-Einstein-Discovery-Consultant - Salesforce Certified CRM Analytics and Einstein Discovery Consultant Useful Reliable Test Testking

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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

Topic
Details

Topic 1

Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.

Topic 2

Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.

Topic 3

Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q10-Q15):

NEW QUESTION # 10
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.
What conclusion can be drawn from this insight?
What conclusion can be drawn from this Insight?

A. Of all promotions types in San Francisco, sales were the highest using Display promotion.
B. Promotions increase sales stronger in San Francisco than they do in other cities.
C. The Other stores (visualized with the gray bars) show no significant data for the sales promotions.
D. The best promotion type is Display.

Answer: B

NEW QUESTION # 11
Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first 6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

How should a CRM Analytics consultant help UC build this lens?

A. Use a "Compare Table" and use the "Show Totals" option.
B. Use a "fill" statement in SAQL query with a "partition" parameter.
C. Use a "Compare Table" and add a column leveraging the "Running Total" function.

Answer: C

NEW QUESTION # 12
A consultant created an Einstein Analytics dashboard in a sandbox. Now, the dashboard needs to be migrated into production.
To complete the migration, what are the consultant's three options? Choose 3 answers

A. Analytics dashboard connector
B. Change sets
C. Analytics External Data API
D. Analytics REST API
E. Ant Migration Tool

Answer: B,D,E

Explanation:
https://help.salesforce.com/articleView?id=bi_explore_packaging_intro.htm&type=0

NEW QUESTION # 13
A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments.
Which three actions can the consultant take to improve dashboard performance? Choose 3 answers

A. Distribute steps among separate pages.
B. Use SAQL code to join datasets at runtime.
C. Reorganize the dashboard widgets.
D. Replace separate step filters with a global filter.
E. Move calculations to a dataflow.

Answer: A,D,E

NEW QUESTION # 14
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting dat
a. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

A. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols
B. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
C. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols

Answer: A

Explanation:
To create a weekly forecast per customer, an SAQL (Salesforce Analytics Query Language) query can be used. The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based on Account Name to ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.

NEW QUESTION # 15
......

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