Question No. 1

Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different

than what they manually calculated by summing the same data in the Salesforce object.

What is causing the issue with the newly synced data?

ADifferences involving flow-updated fields

BDifferences involving formula fields

CDifferences involving trigger-updated fields

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Correct Answer: B

Question No. 2

In Data Alerts, a field named Region is 96.5% North Americ

a. The consultant believes that this is an important field since the majority of sales is in the North American market.

What is the appropriate action?

AChoose the recommended action ''keep only North America'' and exclude all of the other rows.

BUnderstand if client should only 'focus on North America'' or drop the field, as it does not have valuable information.

CAppend more rows of data with 'other values of Region'' to balance the dataset properly.

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Correct Answer: B

Question No. 3

Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.

The parameters being:

1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.

2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).

Which sharing method works for this scenario?

ACreate two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.

BUse a field on the user record like Department/Region, and apply row-level security based on that field.

CCreate two separate datasets; one for EMEA, and one for CXOs and VPs.

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Correct Answer: B

For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:

Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.

Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.

Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.

Question No. 4

Universal Containers (UC) is using CRM Analytics to create two datasets.

* Dataset A: Contains a list of activities with an "activityID" dimension and a "userID" dimension

* Dataset B: Contains a list of users with a "userID" dimension

UC wants to delete all activities from Dataset A related to users in Dataset B.

How should the CRM Analytics consultant help UC achieve this?

AUse the combination of recipe transformations: 'join' and ''filter''.

BUse the recipe node 'delete' and set 'userID' as the deletion ID.

CUse the ''update'' transformation and utilize the 'filter' node.

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Correct Answer: A

In CRM Analytics, when dealing with two datasets, such as Dataset A (activities) and Dataset B (users), and you want to delete records from Dataset A based on the users listed in Dataset B, you would typically use a combination of a join and filter transformation in a recipe. The join transformation allows you to combine data from both datasets based on the shared userID dimension, and the filter transformation would then be used to delete or exclude any activities from Dataset A that are associated with the users from Dataset B. This approach ensures that only relevant activities remain in Dataset A after filtering out the unwanted ones. Reference: CRM Analytics Recipes: Join and Filter Transformations

Question No. 5

The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app.

How should the consultant fix the problem?

ADevelop separate dashboards and datasets and put them in the Manager's app.

BApply data encryption using Salesforce Shield.

CCreate separate apps, datasets, and dashboards, and share them with the proper users.

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Correct Answer: C

To address issues with unauthorized access to sensitive data and dashboards, the best practice is to create separate apps, datasets, and dashboards for different user groups and then manage their sharing settings appropriately. This allows you to maintain data security while ensuring that users only access the data and insights that are relevant to their roles. In this scenario, applying separate apps for managers with defined sharing rules will prevent users who shouldn't have access from seeing sensitive data. Reference: Managing Data Access and Sharing in CRM Analytics

Free Salesforce ANC-201 Exam Actual Questions

The questions for ANC-201 were last updated On Dec 16, 2024