Question 1

consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation. https://kxbjsyuhceggsyvxdkof.supabase.co/storage/v1/object/public/file-images/ANC-201/page_6_img_1.jpg Which action should the consultant take?

Accepted Answer

A

Explanation: Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here’s the rationale: Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired. Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions. Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It’s about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making. By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client’s business strategies and operational realities.

Question 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?

Accepted Answer

B

Explanation: :

Question 3

A CRM Analytics consultant at Cloud Kicks wants to create a new dashboard that uses custom
GeoJSON to display data; however, they are unable to upload the file via the user interface (UI).
Which action should the consultant take?

Accepted Answer

C

Explanation: If a consultant at Cloud Kicks needs to use custom GeoJSON files for dashboard visualization and cannot upload the file via the CRM Analytics user interface (UI), the recommended action is to use the API for this purpose. Here’s why this approach is suggested: Functionality Limitation in UI: Currently, the CRM Analytics UI does not support direct uploads of GeoJSON files, which necessitates an alternative method. API Flexibility: The API provides a more flexible route for uploading custom GeoJSON files, allowing consultants to integrate more complex or larger datasets that are not supported through standard UI functionalities. Customization and Control: Using the API also offers greater control over how GeoJSON data is handled, processed, and utilized within CRM Analytics, catering to more advanced customization needs. This method ensures that the consultant can fully utilize CRM Analytics’ capabilities for creating highly customized geographic visualizations, thereby enhancing the analytical value of the dashboards.

Question 4

The below image shows a numeric outcome being deployed (Regression).
ANC-201 practice exam questions

Which metric is used to calculate the performance of the model in production, specifically in the
Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the
Model Manager?

Accepted Answer

C

Explanation: In the context of a regression model being deployed, the performance metrics used to evaluate its effectiveness in production typically include: Root Mean Square Error (RMSE): This metric provides a measure of the average magnitude of the errors between predicted values by the model and the actual values, giving a sense of how accurately the model predicts the outcome. Minimum Square Error: While less commonly referenced as "Minimum Square Error", metrics like Mean Squared Error (MSE) are often used to quantify the average of the squares of the errors— essentially, the average squared difference between the estimated values and what is estimated. These metrics are crucial for assessing the performance of regression models in CRM Analytics, as they directly reflect the accuracy and reliability of the model’s predictions in real-world applications.

Question 5

A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After
some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds;
however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?

Accepted Answer

A

Explanation: In CRM Analytics, performance issues often arise when large tables or datasets are loaded on a single dashboard page, especially when the table contains a lot of data, as in the case of the Opportunities Table. One way to improve performance is to split the dashboard into multiple pages, moving resource-intensive components (like large tables) to a secondary page. By creating a second page and relocating the Opportunities Table, the initial dashboard page will load faster, and users can still access the table by navigating to the second page when needed. This practice ensures better overall performance and user experience. Reference: CRM Analytics Dashboard Optimization

Question 6

A CRM Analytics consultant has been tasked with providing access to CRM Analytics for a few users.
They should be able to view the data but unable to export it.
Which permission should the consultant make sure to NOT include?

Accepted Answer

B

Explanation: :

Question 7

A CRM Analytics consultant is adding direct data into an existing recipe. When trying to click on the
input node, data preview is taking a long time to show any results.
How should the consultant resolve this?

Accepted Answer

C

Explanation: :

Question 8

Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to
accelerate the company's sales process. To do so, CK needs to know the average time an opportunity
spends in each stage. The data can be found in the Opportunity History object, but the value is not
pre-calculated in Salesforce, so a consultant recommends using a recipe to calculate it.
How should the consultant use a recipe to calculate the average time an opportunity spends in each
stage?

Accepted Answer

C

Explanation: :

Question 9

A versioning feature allows CRM Analytics users to be added as Publishers and make changes
separately while a ‘Live’ version is still being used by 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?

Accepted Answer

A

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 10

Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After
installation, they realize the wrong field was picked and the app did not have access to a newly
created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

Accepted Answer

B

Explanation: If the wrong field is selected in the initial setup of an app or dataset, it is important to stop any data processing activities (like recipe executions) to prevent erroneous data from being loaded into datasets and dashboards. In this case, stopping the recipe from running in Data Manager is the correct first step. Once the recipe is stopped, the consultant can update the field selection or make other necessary corrections before restarting the process. Reference: The Data Manager section in CRM Analytics outlines how recipes and data flows are managed, including how to stop or pause recipes.

Question 11

A system administrator and a CRM Analytics consultant are working together on deploying
arecipe/dataflow and a dataset to another org. Prior to this deployment, a package was deployed
with all the custom fields used in the dataflow and dataset.
While running the recipe/dataflow in the target environment, the consultant encounters multiple
errors related to these custom fields.
How should this be resolved?

Accepted Answer

B

Explanation: :

Question 12

After the initial creation of a model, the first model insight explains 93% of the variation of the outcome variable. This is unusually high. What is the most likely reason for this?

Accepted Answer

C

Explanation: :

Question 13

Universal Containers plans to upload target data from an external tool to CRM Analytics so it can
calculate the sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The
target data is a CSV file that contains the Salesforce ID of the sales rep, the target amount, and the
month of the target. For each sales rep, the file contains a target for every month of the current year
as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data
API to upload the file?

Accepted Answer

A

Explanation: For uploading target data that changes on a monthly basis and includes historical data (previous years’ targets), the appropriate operation is "Overwrite." This ensures that each time the CSV file is uploaded, the existing data in the dataset is replaced with the new data. This is critical because the target data includes both current and historical data, and using "Overwrite" will update the entire dataset while maintaining historical accuracy. "Append" would add new data without replacing the old records, leading to duplication, and "Update" is not suitable for completely replacing data in this context. Reference: The usage of the "Overwrite" operation for updating datasets with changing data is covered in the Analytics External Data API documentation, as well as in the Wave Analytics Explorer module.

Question 14

The CRM Analytics consultant at Cloud Kicks is asked to make sure the data on the CRM Analytics
dashboard be as real-time as possible.
It was agreed to set the sync refresh time to 5 minutes for one of the local connections. The org has a
CRM Analytics Plus license but users are noticing that the earliest available time is 1 hour. The
minutes option is not visible to the user.
What is causing the issue?

Accepted Answer

C

Explanation: In the scenario where Cloud Kicks wants to set the sync refresh time to 5 minutes but finds that the minimum available time is 1 hour, the limitation is due to the licensing and feature availability in CRM Analytics Plus. Here’s the detailed explanation: License Restrictions: The CRM Analytics Plus license typically sets the minimum refresh interval at 1 hour. This is a built-in restriction that reflects the platform's capabilities and resource allocation norms. Platform Capabilities: While more frequent refreshes would be ideal for achieving near-real-time data synchronization, such capabilities might require additional customization or advanced setup, potentially involving higher tiers of service or additional Salesforce products. Operational Considerations: Frequent data refreshes, especially in shorter intervals like 5 minutes, can significantly impact system performance and resource utilization. Therefore, such options are generally restricted or managed tightly within Salesforce environments. This understanding aligns with Salesforce's documentation and product specifications, which outline what features and capabilities are available under different licensing agreements.

Question 15

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?

Accepted Answer

A

Explanation: :

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