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| Section | Objectives |
|---|---|
| Security and Access | - App and dataset permissions - Row-level security and sharing rules |
| Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
| Data Integration and Connectivity | - Data synchronization and refresh strategies - Connecting external data sources |
| Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
| Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics |
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NEW QUESTION # 87
A project team member uploads a CSV file to CRM Analytics, and they notice a few records failed during the upload. The manager wants to view the error log generated so this can be fixed and uploaded again. The manager has the CRM Analytics administrator permissionbut is unable to download the error log details.
Why is the manager unable to download the log details?
Answer: C
Explanation:
In CRM Analytics, when a CSV file is uploaded and errors occur during the upload process, an error log is generated. However, only the user who uploaded the external data file can download the error log, even if other users have administrative permissions. This restriction ensures that only the user responsible for the data upload can access the details to resolve the issues.
NEW QUESTION # 88
At Universal Containers, a dashboard is built to track sales metrics. The Opportunity amount field has conditional formatting added - it turns green for closed won and red for closed lost.
How should a CRM Analytics consultant enhance the dashboard design to become more accessible to users with color vision challenges?
Answer: A
Explanation:
Enhancing accessibility, especially for users with color vision challenges, is critical. Adding up and down arrows next to the KPIs:
* Visual Cues: Provides a non-color dependent method to indicate whether metrics are positive (up arrow) or negative (down arrow).
* Accessibility: Improves understanding for users with color vision deficiencies, ensuring that the dashboard is inclusive.
* User Experience: Enhances the overall usability of the dashboard by making the interpretation of data straightforward and less reliant on color.
NEW QUESTION # 89
A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?
Answer: B
Explanation:
When deploying a dataset and dashboard between environments in CRM Analytics, it's essential to include theExtended Metadata (XMD)file, which controls aspects such as conditional formatting and number formatting. In this case, the administrator manually copied the dashboard JSON but did not deploy the Analytics Dataset XMD, which leads to the loss of conditional formatting and widget-specific number formats in the target environment. Including the XMD ensures that all formatting and metadata are transferred correctly.
NEW QUESTION # 90
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?
Answer: B
Explanation:
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
* Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger.
This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
* Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
* Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.
NEW QUESTION # 91
A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?
Answer: A
NEW QUESTION # 92
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