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Free Salesforce ANC-301 Exam Questions (page: 4)

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PDF with 115 Questions

Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The models are for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

  1. Filter the account data per region and deploy the same model to all segments.
  2. Segment the account data per region and deploy the appropriate model for each segment.
  3. Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.

Answer(s): B

Explanation:

In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and APAC), the best approach is to segment the account data by region and apply the specific model designed for each segment. This method ensures the following:
Relevance and Accuracy: Each model can be specialized to understand and predict based on regional dynamics, which may differ significantly across geographies in terms of market behavior, customer preferences, and economic conditions.
Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur if a single model were used across all regions, which could lead to less accurate predictions. Scalability: This approach is scalable as UC can further refine each model as more regional data becomes available or as regional market conditions evolve.



A company wants to create a timeline chart to visualize the evolution of its Closed Won opportunities.



What are the required parameters to build a lens that displays output similar to the image shown?

  1. 1 measure, 0 groupings if trellis Is disabled, or 0-2 groupings If trellis is enabled
  2. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
  3. 1 measure, 1 grouping by a date field, and either 0-1 groupings groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled

Answer(s): C

Explanation:

To create a timeline chart similar to the one shown, the following parameters are typically required:
1 Measure: This could be the count of Closed Won opportunities or any other relevant metric that needs to be tracked over time.
1 Grouping by a Date Field: This is essential to plot the timeline effectively. The date field would typically be the close date of the opportunities.
Additional Groupings: Depending on the complexity and the detail needed, additional groupings can be added. For example, grouping by region or product line can provide more insights into the timeline. If trellis is used, it allows for the creation of multiple smaller charts within the main chart, each representing a slice of data based on the additional groupings. This setup helps visualize the evolution of Closed Won opportunities over time, making it easy to spot trends, seasonal patterns, or other relevant insights.



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?

  1. Add the system permission "Manage Analytics Custom Maps" to the permission set used.
  2. Enable Custom maps with GeoJSON"" in the analytics settings.
  3. Upload the GeoJSON via the API because it is NOT a function in the UI.

Answer(s): 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.



A company realizes it has a lot of rich information around its cases, but unfortunately, most of this is unstructured/textual dat

  1. The company is exploring how to include some of this information in its case prioritization.
    Which option within CRM Analytics should a consultant leverage?
  2. Bucket transformation in Recipes
  3. Cluster transformation in Recipes
  4. Detect Sentiment transformation in Recipes

Answer(s): C

Explanation:

For a company with a wealth of unstructured textual data in their cases, the "Detect Sentiment" transformation within CRM Analytics Recipes is a crucial tool. This transformation analyzes the sentiment of the text data--whether it's positive, neutral, or negative--and this insight can be highly valuable in case prioritization processes. Here's why this transformation is useful:
Insight into Customer Sentiments: By detecting sentiment, the company can prioritize cases based on the urgency and emotional tone expressed in the text, which might indicate customer dissatisfaction or urgency.
Automation and Efficiency: Automatically categorizing cases based on sentiment can streamline workflows and ensure that critical cases are handled promptly.

Enhanced Customer Service: Responding to negative sentiments swiftly can improve customer satisfaction and potentially mitigate issues before they escalate.



Universal Containers asks a CRM Analytics consultant to review the performance of its local data sync.
After removing unused objects and fields from connected data, what else should the consultant do to improve performance of the data sync?

  1. Evaluate connection mode for each connected object.
  2. Contact Salesforce Support to increase sync speed.
  3. Enable fast sync in analytics settings.

Answer(s): A

Explanation:

To improve the performance of local data sync in Universal Containers, evaluating the connection mode for each connected object is a practical approach. Here's the rationale:
Optimization of Resources: Different connection modes (e.g., Full Sync, Incremental Sync) use different amounts of resources. Choosing the right mode for each object based on how frequently its data changes can optimize the sync process and reduce load times. Efficient Data Handling: By tailoring the connection mode to the needs of specific data objects, the overall efficiency of the data sync process is improved, leading to faster refresh rates and more timely data availability.
Cost and Performance Balance: Evaluating and selecting the appropriate connection mode can also help balance performance needs with cost constraints, as some modes may consume more compute resources than others.



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?

  1. The consultant does not have the Edit CRM Analytics Dataflows permission assigned.
  2. Setting up the schedule to 5 minutes feature is not available in sandbox orgs.
  3. The earliest available time is 1 hour for CRM Analytics Plus license.

Answer(s): 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.



What can a consultant accomplish in the Predictions page of a model?

  1. If it is decided to follow some of the Einstein Recommendations for model improvement, see what the new model metrics would be.
  2. Estimate the impacted business value of using Einstein Discovery.
  3. Create predicted outcome value by manually selecting values for some of the predictor fields.

Answer(s): C

Explanation:

In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:
Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs. Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.
Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.



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?

  1. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
  2. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
  3. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.

Answer(s): A

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.



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