The Most Efficient CRM-Analytics-and-Einstein-Discovery-Consultant Pdf Dumps For Assured Success [2025]
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NEW QUESTION # 17
When Analytics runs a dataflow that accesses Salesforce objects, which user does it use?
- A. The Integration User
- B. The current user
- C. The record owner
- D. The system administrator
Answer: A
NEW QUESTION # 18
A CRM Analytics consultant has been asked to add 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. Clone the recipe, add the new object to the recipe, and run the recipe.
- B. Turn on data syne for the object, run the sync, and then add to recipe.
- C. Create a new data sync connection, run the sync, and add to recipe.
Answer: B
NEW QUESTION # 19
The CRM Analytics consultant at AW Computing is designing dashboard. They want to add a rate between two metrics and display it in a new chart. They are finding that the new chart seems to prejudice the design of other charts.
What should the consultant do to resolve this?
- A. Adjust the dashboard widgets to accommodate the rate chart.
- B. Clone the dashboard and replace one of the charts with the new rate chart.
- C. Create a component with the rate chart and insert it in one of the tooltips.
Answer: C
NEW QUESTION # 20
Creating an Einstein Discovery story involves:
- A. Uploading a Microsoft PowerPoint presentation
- B. Copying text from company reports and pasting into Einstein Discovery
- C. Entering notes about the data
- D. Selecting a Dataset in Einstein Analytics, then clicking Create Story
Answer: D
NEW QUESTION # 21
A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?
- A. Ask the credit card company for a more comprehensive dataset to analyze.
- B. Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
- C. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
- D. Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
Answer: C
NEW QUESTION # 22
A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their API labels, such as "AccountId.Industry", and wants to change this behavior.
The designer also notices that the fields and their order appear to randomly change when a values table is created.
What should the CRM Analytics consultant explain to help the designer?
- A. The default fields In a values table and the field labels can be modified in the dataset explorer.
- B. The default fields in a values table can be changed by reordering how fields appear in the JSON of the value table.
- C. The field labels can only be changed in the widget properties in the dashboard edit mode.
Answer: A
Explanation:
For the scenario at Cloud Kicks where fields display with their API labels and the fields in a values table seem to change order randomly, the correct approach is to modify these settings in the dataset explorer within CRM Analytics. This allows for a more intuitive display and control over how data is presented in dashboards.
Here's how these adjustments help:
Modifying Field Labels: Changing the field labels from their API names to more user-friendly names enhances readability and user experience. This can be done directly in the dataset explorer, which affects how fields appear across all dashboards utilizing that dataset.
Controlling Field Order: The order of fields in a values table can seem random if not explicitly set. By using the dataset explorer, a designer can specify the order in which fields appear, which then reflects consistently in the dashboard's values table.
This functionality is part of CRM Analytics' aim to provide flexible and customizable data visualization tools. Training on these features is available through various Salesforce Trailhead modules that discuss dashboard and dataset customization techniques, providing practical insights and guided tutorials to enhance dashboard design and user interaction.
Both these explanations are consistent with best practices as outlined in Salesforce's CRM Analytics documentation and the Trailhead educational content, ensuring that users are well-equipped to leverage the full capabilities of CRM Analytics for effective data management and presentation.
NEW QUESTION # 23
The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back.
However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation, they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?
- A. Raise a case with Salesforce Support to help Increase the concurrency limits of the org.
- B. Enable priority scheduling to automatically queue shorter or smaller runs before longer or larger ones.
- C. Set up failure notifications so that the CRM Analytics consultant gets notified when this happens and can fix the Issue.
Answer: B
NEW QUESTION # 24
A consultant built an Einstein Analytics app for the Sales Operations team. The team wants to share this app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
In the process of creating the template, which role does the original Einstein Analytics app for the Sales Operation team play?
- A. It is the instance.
- B. It is the target.
- C. It is the template.
- D. It is the master.
Answer: D
NEW QUESTION # 25
How can you restrict access to Analytics data at the row level?
- A. Manually add a flag to each row to prevent access.
- B. Use subtle thought control.
- C. Use a security predicate to filter which rows are returned.
- D. Remove restricted rows from the JSON file.
Answer: C
Explanation:
Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: "rowLevelSecurityFilter":"'AccountOwner' == \"$User.Name\""
NEW QUESTION # 26
Which chart type is suitable for rendering five measures in a lens visualization?
- A. Scatter chart
- B. Metric Radar chart
- C. Treemap chart
- D. Stacked Bar chart
Answer: D
NEW QUESTION # 27
In a story investigating margin, large variations between product groups are dominating the story. Which action might an Einstein Consultant take to resolve this?
- A. Run separate stories for each region.
- B. Add more data to the dataset.
- C. Normalize the margin by product group.
- D. Eliminate extreme values in the dataset.
Answer: D
NEW QUESTION # 28
A CRM Analytics consultant is working on Sales dashboards with multiple datasets and advanced queries in the Sales Analytics app.
Sales managers in the organization have been given Editor/Manager access to the app, whereas sales reps have been given Viewer access.
Some dashboards that are in progress are not ready to be rolled out to sales reps and should only be viewable by sales managers.
How should the consultant accomplish this?
- A. Remove the dashboard from the 'Run App' navigation list so the sales reps cannot navigate to these dashboards.
- B. Leverage the CRM Analytics asset visibility feature to hide the assets from the users.
- C. Duplicate the dashboards and their respective datasets, and move the assets to a separate app for the sales rep.
Answer: B
Explanation:
In CRM Analytics, you can control the visibility of dashboards and other assets using theasset visibilityfeature. This allows the consultant to restrict access to specific assets (like dashboards) for certain groups of users, such as sales reps, without needing to duplicate datasets or move dashboards to another app.
This is the most efficient way to manage access for dashboards in progress while allowing only sales managers to view the in-progress dashboards.
NEW QUESTION # 29
CRM Analytics uses permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow/recipe job runs.
Why should a consultant be cautious while syncing objects and fields containing sensitive data?
- A. The Integration User has View All Data access.
- B. The Integration User has Create and Modify All Data access.
- C. The Integration User has Modify All Data access.
Answer: A
NEW QUESTION # 30
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.
What is causing the issue?
- A. The dashboard has been created for internal use and the users have a view only license.
- B. The users have access to the dashboard but not the dataset.
- C. The permission set for the users Is missing the download data permission.
Answer: C
Explanation:
As in the previous question, the issue is related to permissions. Users can be granted access to dashboards and apps, but if their permission set does not explicitly allow the "Download Data" action, they will not be able to download the widget data. This is a common issue encountered when users have restricted permissions, especially in environments where security and data access are tightly controlled.
NEW QUESTION # 31
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. 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 @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
- B. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W 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: B
Explanation:
To create a weekly forecast per customer, anSAQL (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 onAccount Nameto 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 # 32
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