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NEW QUESTION # 13
Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?
- A. Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.
- B. Segment the account data per region and deploy the appropriate model for each segment.
- C. Filter the account data per region and deploy the same model to all segments.
Answer: 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.
NEW QUESTION # 14
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?
- A. Custom transformation with a multiple row formula to calculate the duration
- B. Flatten transformation with offset expressions to calculate the duration
- C. An aggregate transformation with offset parameter to calculate the duration
Answer: A
NEW QUESTION # 15
CRM Analytics team plans to enable data sync.
Which limit specific to data syne should the team consider before enabling the feature because it may impact existing jobs?
- A. Maximum number of Full Sync connection mode enabled
- B. Maximum number of data sync jobs cannot exceed the limit
- C. Maximum number of objects that can be enabled for data sync
Answer: C
Explanation:
In CRM Analytics, when planning to enable data sync, one of the critical considerations is the limit on the number of objects that can be enabled for data sync. This limit is essential because it determineshow many different Salesforce objects (like Accounts, Opportunities, etc.) can be synchronized concurrently. Exceeding this limit could impact the performance of existing sync jobs or prevent new sync jobs from being configured.
Key points to consider include:
* Performance Impact: Syncing too many objects simultaneously can lead to increased load times and potential delays in data availability, impacting users' ability to access up-to-date information.
* Resource Allocation: CRM Analytics allocates resources based on the number of objects being synchronized, and there are practical limits to these resources to ensure stable and efficient operation.
For a more detailed understanding and to manage these limits effectively, Salesforce provides documentation and guidelines within the CRM Analytics resources, which can be further explored in the Trailhead modules specifically focusing on data management and synchronization practices.
NEW QUESTION # 16
A CRM Analytics consultant wants to move a dataflow to a recipe in order to use aggregation nodes. To do so, they use the Dataflow to Recipe convertor and the recipe runs successfully.
However, they are unable to see the aggregated data in the dataset.
What is causing the issue?
- A. The recipe has to be turned off and only the dataflow should run.
- B. The convertor has created a new dataset with a new ID.
- C. The dataflow has to be turned off and only the recipe should run.
Answer: B
NEW QUESTION # 17
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?
- A. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
- B. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.
- C. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
Answer: 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.
NEW QUESTION # 18
A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their APIlabels, such as "AccountId.Industry", and wants to change this behavior.
The designer also notices that the fields and their order appear to randomly change when a values table is created.
What should the CRM Analytics consultant explain to help the designer?
- A. The default fields in a values table can be changed by reordering how fields appear in the JSON of the value table.
- B. The default fields In a values table and the field labels can be modified in the dataset explorer.
- C. The field labels can only be changed in the widget properties in the dashboard edit mode.
Answer: B
Explanation:
For the scenario at Cloud Kicks where fields display with their API labels and the fields in a values table seem to change order randomly, the correct approach is to modify these settings in the dataset explorer within CRM Analytics. This allows for a more intuitive display and control over how data is presented in dashboards.
Here's how these adjustments help:
* Modifying Field Labels: Changing the field labels from their API names to more user-friendly names enhances readability and user experience. This can be done directly in the dataset explorer, which affects how fields appear across all dashboards utilizing that dataset.
* Controlling Field Order: The order of fields in a values table can seem random if not explicitly set. By using the dataset explorer, a designer can specify the order in which fields appear, which then reflects consistently in the dashboard's values table.
This functionality is part of CRM Analytics' aim to provide flexible and customizable data visualization tools.
Training on these features is available through various Salesforce Trailhead modules that discuss dashboard and dataset customization techniques, providing practical insights and guided tutorials to enhance dashboard design and user interaction.
Both these explanations are consistent with best practices as outlined in Salesforce's CRM Analytics documentation and the Trailhead educational content, ensuring that users are well-equipped to leverage the full capabilities of CRM Analytics for effective data management and presentation.
NEW QUESTION # 19
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?
- A. Analytics External Data API
- B. Change sets
- C. Analytics dashboard connector
Answer: B
NEW QUESTION # 20
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.
How should the consultant accomplish this?
- A. In the explorer's field panel, select the boolean fields and use the "edit values" option on the fields to change values and colors.
- B. Create an XMD node in the recipe to change the label and color of the values in the fields.
- C. Select the boolean fields in the explorer's field panel, select the boolean fields, then create a derived dimension.
Answer: A
NEW QUESTION # 21
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?
- A. Download CRM Analytics data
- B. View CRM Analytics Assets
- C. Export CRM Analytics data
Answer: A
NEW QUESTION # 22
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?
- A. The consultant has set up component visibility for the dashboard for system administrators only.
- B. The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.
- C. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
Answer: A
NEW QUESTION # 23
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?
- A. Check whether the system administrator has been provided access to these custom fields on the target org.
- B. Check whether the consultant has been provided access to these custom fields on the target org.
- C. Check whether the Analytics Integration user has been provided access to these custom fields on the target org.
Answer: C
NEW QUESTION # 24
The CRM Analytics consultant at Cloud Kicks is asked to a dashboard displaying Opportunities data on the account's record page. The dashboard should display only opportunity data related to the current account viewed.
How should the consultant accomplish this?
- A. Create the dashboard, insert in the account's record page, and apply a filter based on the opportunity's Id field.
- B. Create the dashboard, insert in the account's record page, and apply a filter based on the account's Id field.
- C. Create a dashboard, clone it and filter It for each account record, and embed them into the account's record pages accordingly.
Answer: B
NEW QUESTION # 25
The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?
- A. The total duration of the recipe runtimes can exceed the limit of 1 hour.
- B. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.
- C. The number of concurrent recipe run limits that are associated with the org.
Answer: A
Explanation:
In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would beimpossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.
NEW QUESTION # 26
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. Data within datasets is modified for localization or internationalization.
- B. The developer turned off dynamic time zone in CRM Analytics settings.
- C. The dataset metadata locale Is not overridden by Individual user locale settings.
Answer: B
NEW QUESTION # 27
Universal Containers has a single dataset that contains the attainment and commission fields for all sales reps.
Each sales rep should be able view the attainment data for each rep in their division. Each repshould only be able to see their own commission data.
Which option should a CRM Analytics consultant use to enforce this requirement?
- A. Utilize a single dataset and apply security predicates and/or sharing inheritance.
- B. Add the sales organization to the attainment dataset access list to be able to view commission data.
- C. Create separate datasets for attainment and commission, and apply security Predicates and/or sharing inheritance.
Answer: C
NEW QUESTION # 28
Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing
'Account' dataset as follows:
This, however, does not seem to be working as expected.
What is causing the issue?
- A. The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.
- B. The Sales Rep is not provided access permission on custom field Demographic__c on the User object.
- C. The security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.
Demographic__c'.
Answer: B
Explanation:
The issue with the security predicate not functioning as expected likely stems from a permissions issue related to the custom field Demographic__c on the User object. Here's a detailed explanation:
* Field-Level Security: If the sales reps do not have access to the Demographic__c field, the security predicate which references this field cannot execute properly as the system cannot evaluate the predicate without accessing the field.
* Permission Settings: Ensuring that the sales reps have the necessary permissions to view and use the Demographic__c field is crucial for the security predicate to function correctly.
* Data Visibility: The security model in CRM Analytics relies heavily on the underlying data permissions in Salesforce. If these permissions are not correctly configured, the expected data visibility through CRM Analytics will not be achieved.
NEW QUESTION # 29
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?
- A. The columnheaderis prefixed with "X" upon upload.
- B. The column header Is set to *&**(&*(%.
- C. The column header is auto-updated to "Column" + column number.
Answer: A
Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as "&**(&(%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.
NEW QUESTION # 30
A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and quotes.
How should the CRM Analytics consultant accomplish this?
- A. Aggregate to summarize related data to account level.
- B. Cluster in the recipes and select the metrics used for clusterization.
- C. Bucket for each measure and then use a global bucket to segment accounts.
Answer: A
NEW QUESTION # 31
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?
- A. If no layouts are eligible for the mobile device, an error message will be displayed but the dashboard will still be visible on the desktop without errors.
- B. Create a layout with the property "phone" to show the dashboard on the mobile app similar to creating a layout with the property "dashboard"to show on the desktop for thesame dashboard,
- C. "Tablet" or "Phone" layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in asmall frame, or if the browserwindow is small.
Answer: C
Explanation:
When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:
* Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
* Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
* User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.
NEW QUESTION # 32
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. Increase the sharing descriptor limit in the analytics settings.
- B. Contact Salesforce Support to increase the sharing descriptor limit.
- C. Use security predicates in CRM Analytics.
Answer: C
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.
NEW QUESTION # 33
A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data wasuploaded successfully. Upon analyzing the data using a lens, they find they are unable to perform any mathematical operations as all the data and fields are treated as dimensions.
What is causing the problem?
- A. The field value added in the CSV file was contained within double quotes.
- B. JSON metadata file was not uploaded along with the CSV data file.
- C. Proper transformations need to be performed at the external source prior to External Data API callout.
Answer: B
NEW QUESTION # 34
AW Computing will start using Tableau Online to report on some of its Salesforce data to users who do NOT have an SFDC license.
What is the first step the CRM Analytics consultant should take?
- A. Use MuleSoft to generate an API ta connect and push data from SFDC to Tableau.
- B. Select the output connection in the "write to" option of the recipe.
- C. Enable the Tableau output connection in the Analytics settings.
Answer: C
NEW QUESTION # 35
Exhibit.
Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?
- A. Use "Connect Data Sources" and create a connection to connect the two widgets.
- B. Use "Connect Data Sources" and create a connection to connect the two datasets.
- C. Use result binding/Interaction in the filters section of the query "Type 1".
Answer: B
NEW QUESTION # 36
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