Question # 1 A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do? A. Fill in the missing data with an average of all incomes.B. Apply the predict missing values transformation in recipe nodes.C. Drop the field as it will be difficult to get future respondents.
Click for Answer
B. Apply the predict missing values transformation in recipe nodes.
Answer Description Explanation:
[Reference:CRM Analytics Recipes and Predict Missing Values]
Question # 2 The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets? A. Create/Edit a lens and add each dashboard.B. Create/Edit the widgets individually on each dashboard.C. Create/Edit a component for the widgets.
Click for Answer
C. Create/Edit a component for the widgets.
Answer Description Explanation:
To maintain consistency and ease of updates across multiple dashboards, creating or editing a component for the widgets is the most effective method. This approach:
Efficiency in Updates: Allows changes to be made in one place, which automatically propagates to all instances where the component is used across dashboards.
Consistency: Ensures uniformity in the appearance and functionality of the widgets across different dashboards.
Simplicity: Reduces the need for redundant work, where each widget would otherwise need to be updated individually.
Question # 3 A CRM Analytics consultant is performing column profiling on dimension column in a
recipe. Newly-added rows are not being considered in the Results tab of the profile even
though a sync was run for that specific object.
What is causing the issue? A. The sample does not include changes to the connected object data within the last 24
hours.B. Sync operation has not run properly with the new dimension column in the recipe.C. Column profiling Is not applicable on a dimension column in a recipe.
Click for Answer
A. The sample does not include changes to the connected object data within the last 24
hours.
Question # 4 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? A. Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.B. Dataflows/recipes with Augment nodes fail until sync has run for the first time.C. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
Click for Answer
C. Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
Question # 5 A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a ‘Live’ version is still being usedby other users. Once the changes are complete, the user can then set their updated version as the Live version.
Which CRM Analytics item is this leveraged for? A. AppB. DatasetC. goats
Click for Answer
A. App
Answer Description Explanation:
In CRM Analytics, the versioning feature described is typically leveraged for Apps. This feature allows:
Parallel Development: Users can work on changes in a separate version without affecting the live version being accessed by others.
Controlled Publishing: Once changes are finalized, the user can then promote their version to be the new live version, ensuring seamless updates without disrupting ongoing usage.
Collaborative Workflows: Facilitates teamwork by allowing multiple users to propose and test changes in a controlled environment before making those changes live.
This approach ensures that CRM Analytics apps remain dynamic and can evolve over time while maintaining stability and continuity for end-users.
Question # 6 A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do? A. Use security predicates in CRM Analytics.B. Contact Salesforce Support to increase the sharing descriptor limit.C. Increase the sharing descriptor limit in the analytics settings.
Click for Answer
A. Use security predicates in CRM Analytics.
Answer Description Explanation:
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine-tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.
[Reference:Security predicatesand their use to optimize data visibility and sharing within CRM Analytics are explained in theCRM Analyticsdocumentation related to security and performance., ]
Question # 7 A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRMAnalytics. Twenty-five objects have been enabled from the local Salesforce connector.
The requirements are:
* 10 objects should be enabled from an external database
* 12 objects each from three of the external Salesforce environments
* 15 objects each from the remaining two external Salesforce environments
The consultant estimates each connector will, per object, bring between 1,000 and 1 million rows of data.
Which limit will be exceeded? A. Total number of enabled objectsB. Salesforce external connector number of synced rowsC. Storage rows of data
Click for Answer
A. Total number of enabled objects
Answer Description Explanation:
In evaluating the scenario presented where multiple external sources and objects are being integrated into CRM Analytics, we need to consider the total number of enabled objects across all connections. Here's a breakdown:
10 objects from an external database
12 objects each from three external Salesforce environments, totaling 36 objects
15 objects each from two external Salesforce environments, totaling 30 objects
25 objects already enabled from the local Salesforce connector
This brings us to a total of 101 objects enabled, which may exceed typical limits on the number of objects that can be enabled in a CRM Analytics environment, depending on the specific Salesforce licensing and platform limits.
Question # 8 The CRM Analytics consultant at Cloud Kicks (CK) notices that a specific dashboard is showing a different date and time from their locale. Upon investigating, they find that the recipe and datasetswere created from a locale with a PST time zone while CK is in the CET time zone.
What led to this problem? A. The developer turned off dynamic time zone in CRM Analytics settings.B. Data within datasets is modified for localization or internationalization.C. The dataset metadata locale Is not overridden by Individual user locale settings.
Click for Answer
A. The developer turned off dynamic time zone in CRM Analytics settings.
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