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| Exam Code: | CRM-Analytics-and-Einstein-Discovery-Consultant |
| Exam Name: | Salesforce Certified CRM Analytics and Einstein Discovery Consultant |
| Certification Provider: | Salesforce |
| Free Question Number: | 55 |
| Version: | v2024-12-23 |
| Rating: | |
| # of views: | 575 |
| # of Questions views: | 10137 |
| Go To CRM-Analytics-and-Einstein-Discovery-Consultant Questions | |
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No.# the answer is A, see the article joined https://help.salesforce.com/s/articleView?id=ind.admin_create_wave_user_perm_set.htm&type=5
No.# A final query time
No.# C
Why not B?
If dynamic time zone settings were turned off, it would prevent time zone conversion, but the issue here is about the original dataset locale rather than a setting being toggled.
Even with dynamic time zones on, the dataset creation time zone still impacts how timestamps are displayed.
No.# C. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps
No.# If it were data sync replication I would say C
No.# Answer A: If too many jobs are triggered, they might be queued or fail, impacting existing processes such as recipes, dashboards, and dataflows.
Option C (Maximum number of objects that can be enabled for data sync):
While there is a limit to the number of objects that can be synced, the more critical limit impacting existing jobs is the number of concurrent sync jobs running rather than the number of objects enabled.
No.# C. To see the final query for each widget along with the results.
The CRM Analytics Dashboard Inspector helps analyze and debug performance issues by showing:
The final SAQL query executed for each widget.
Query execution time.
Query results.
It does not automatically optimize queries
No.# A. Create an XMD node in the recipe to change the label and color of the values in the fields.
No.# C. Export CRM Analytics data
No.# C. Export CRM Analytics data
No.# B. Create a query with a results-based interaction as a filter using the limit query to pass in the 10 Account IDs.
No.# C. In the currency that is set on the "currency" attribute.
Explanation:
When multiple currencies are enabled in Salesforce, CRM Analytics datasets store currency values based on the "currency" attribute in the dataset.
The Amount field in OpportunityDataSet will be shown in the currency specified in the dataset's "currency" field/attribute, which determines how values are converted or displayed.
This allows the dataset to be consistent across reports and dashboards, regardless of the integration user's or connected user's currency settings.
Why Not A or B?
A (The connected user's currency) is incorrect
CRM Analytics does not dynamically convert currencies based on the logged-in user. The data is stored in a single defined currency format within the dataset.
B (In the integration user's currency) is incorrect
The integration user’s currency does not dictate the dataset's currency format. Instead, the dataset currency is set based on the "currency" attribute" in the dataflow or recipe.
Would you like guidance on configuring the currency attribute in a dataflow or recipe?...
No.# A. Range Values, Angle, Conditional Formatting
Explanation:
A Gauge Chart in CRM Analytics is used to visualize progress toward a goal, making it perfect for tracking opportunity pipeline percentages. The key parameters to customize it are:
Range Values – Defines the different segments of the gauge (e.g., low, medium, high progress).
Angle – Determines the gauge's start and end points, affecting its display.
Conditional Formatting – Helps apply color coding to indicate performance (e.g., red for below target, green for above target).
Why Not B or C?
B (Reference Line, Angle, Range Values) is incorrect:
Reference Lines are useful in bar/line charts but are not used in gauge charts.
C (Reference Line, Markers, Conditional Formatting) is incorrect:
Markers are used in other visualizations like scatter plots or bar charts, but they do not apply to gauge charts.
No.# C. Clarity - Efficiency - Consistency
Explanation:
"Deep Design Thinking" in CRM Analytics focuses on creating dashboards that are intuitive, effective, and user-friendly. The three key principles are:
Clarity – The dashboard should provide clear insights with intuitive visualizations, avoiding unnecessary complexity.
Efficiency – Users (service agents) should be able to access relevant insights quickly to make data-driven decisions.
Consistency – The design should be uniform in terms of layout, colors, filters, and interactions, ensuring a seamless user experience.
Why Not A or B?
A (Purpose - Structure - Surface) is incorrect: While these elements are part of a general design approach, they are not the core principles of Deep Design Thinking in CRM Analytics.
B (Priority - Logic - Level of Granularity) is incorrect: These factors influence dashboard data modeling and structuring, but they are not the fundamental design principles
No.# C. Use the Data Manager and schedule each item to run at 6:00 AM EST based on '