CRM-Analytics-and-Einstein-Discovery-Consultant Practice Exams and Training Solutions for Certifications
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NEW QUESTION # 64
Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.
How should the CRM Analytics developer accomplish this?
- A. Use a Repeater Widget that updates automatically as the data flows through the system.
- B. Build a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.
- C. Create @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.
Answer: A
Explanation:
The Repeater Widget in CRM Analytics allows dynamic updates to be reflected on the dashboard automatically as data flows are updated. This means that as new account managers join or existing account managers change roles, the data in the widget will automatically reflect the latest information without manual updates. This is the most efficient way to keep the dashboard up-to-date with the current list of account managers.
NEW QUESTION # 65
How do you open the Actions menu for a particular case shown in a dashboard?
- A. Double-click the case number in the Actions widget
- B. Simply @mention the case manager for that segment
- C. Hover over the case number column of the values table widget and click the arrow that appears
- D. Click the Actions bar from a bubble chart
Answer: C
NEW QUESTION # 66
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. Apply the predict missing values transformation in recipe nodes.
- B. Fill in the missing data with an average of all incomes.
- C. Drop the field as it will be difficult to get future respondents.
Answer: A
Explanation:
In CRM Analytics, when dealing with incomplete data, specifically when certain respondents have not filled out fields like income, the Predict Missing Values transformation in a recipe is highly effective. This transformation allows you to predict values for missing fields based on patterns from the existing data. Since the consultant finds this field informative despite having data from only 1% of respondents, applying this transformation can estimate these missing values, which ensures that the dataset remains useful for predictive purposes without discarding important variables.
Reference: CRM Analytics Recipes and Predict Missing Values
NEW QUESTION # 67
A Einstein Analytics consultant is asked to help a company report on their sales activity. The company wants to train some users to create their own dashboards. They also want another team to only be able to use the dashboards.
What must be configured to address these requirements?
- A. Create two permission sets with different system permissions.
- B. Grant "Manage" access permission to the apps.
- C. Create a permission set license assignment with two different levels of access-
- D. Use a permission set license with two different levels of access.
Answer: A
NEW QUESTION # 68
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. View CRM Analytics Assets
- B. Export CRM Analytics data
- C. Download CRM Analytics data
Answer: C
NEW QUESTION # 69
Your sales team requests that datasets for their dashboards are refreshed every hour. You agree to investigate if this is possible and find that the dashboards use A datasets created from two recipes. The first recipe takes 43 min to run and the second recipe takes 25 min to run.
Is it possible to refresh data every hour?
- A. No, the number of recipe runs exceed the limit of 40 in a 24 hour rolling period.
- B. Yes, the number of recipe runs does not exceed the limit of 60 in a 24 hour rolling period.
- C. Yes, with the concurrent recipe runs the duration is less than hour.
- D. No, the total duration of the recipe jobs exceeds one hour.
Answer: A
NEW QUESTION # 70
The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How can an Einstein Consultant address this need?
- A. Create one application for each department, put common datasets in the shared app, and use roles to share applications.
- B. Create one application for each department and use roles to share applications.
- C. Create one application for each department, put common datasets in the shared app, and use profiles to share applications.
- D. Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.
Answer: A
NEW QUESTION # 71
What are various ways to incorporate blank space in a CRM Analytics dashboard?
- A. Use the "Fine" row height option in layout properties, and use blank rows, Use the "With Spacing" row height property.
- B. 1. Use the "Cell Spacing" layout property.
2. Increase the dashboard granularity via columns, and use blank columns. - C. 1. Increase the dashboard granularity via columns, and use blank columns.Use pages to break content into multiple tabs.
Answer: B
Explanation:
Incorporating blank space into a CRM Analytics dashboard can be achieved effectively through the following methods:
Cell Spacing Layout Property: This allows for consistent spacing between cells, helping to create a visually organized and less cluttered dashboard.
Increasing Dashboard Granularity via Columns: Using blank columns as a method to create deliberate space can help in visually separating different dashboard elements, enhancing readability and focus.
These methods ensure that the dashboard is not only functional but also aesthetically pleasing and easy to navigate.
NEW QUESTION # 72
As a tableau CRM consultant you have been asked to bring data from a Snowflake database as well external Salesforce environment into Tableau CRM (CRM Analytics Plus edition). 25 objects have been enabled from the local Salesforce connector. After further investigation of the external Salesforce environment and 15 object each from the remaining 2 external Salesforce environment. You estimate each connector will per object bring between 1000 and 1 mil rows of data.
What limit will be exceeded?
- A. Salesforce external connector number of synced rows
- B. Storage rows of data
- C. Snowflake connector number synced rows
- D. Total number of enabled objects
Answer: A
NEW QUESTION # 73
When organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'
- A. Implement strict security predicates to minimize the amount of information displayed to users.
- B. Utilize the latest templates for the most modern look and feel.
- C. Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.
- D. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
Answer: D
NEW QUESTION # 74
How do you analyze data from a CSV file using Einstein Discovery?
- A. Import the CSV file into the most similar Salesforce object, then run reports on that object.
- B. Import the CSV file into Einstein Discovery.
- C. You can't import data from a CSV file
- D. Import the CSV file into an Einstein Analytics dataset, then create a story.
Answer: D
NEW QUESTION # 75
What is the test called that helps to identify categories that exhibit a pattern outside the overall average?
- A. Critical region test
- B. Null hypothesis test
- C. Chi-square test
- D. T-test
- E. Significance level test
Answer: D
NEW QUESTION # 76
A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.
Which concept should be applied to this dashboard?
- A. Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
- B. Limit widget actions and exploration so users will focus only on the high-level information.
- C. Use the different chart types to make the dashboard interesting and appealing.
- D. Use charts to help users ask questions, not illustrate a conclusion.
Answer: D
Explanation:
https://help.salesforce.com/articleView?id=bi_dashboard_build_tips.htm&type=5
NEW QUESTION # 77
In the context of Analytics, what is faceting?
- A. Something only programmers can access
- B. Representing the number of widgets on a dashboard
- C. Choosing the color of the background in a graph
- D. Filtering all related widgets in a dashboard by your selection
- E. Measuring the number of significant digits of precision for a particular metric
Answer: D
NEW QUESTION # 78
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?
- A. First-order analysis
- B. Object-oriented analysis
- C. Third-order analysis
- D. Second-order analysis
- E. Spectrum analysis
Answer: A
NEW QUESTION # 79
Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How should a CRM Analytics consultant address this need?
- A. Create one app for each department, put common datasets in the shared app, and use permission sets to share apps.
- B. Create one app for each department, put common datasets in the shared app, and use roles to share apps.
- C. Create one app for each department, put common datasets in the shared app, and use profiles to share apps.
Answer: A
Explanation:
For managing access to department-specific dashboards while leveraging common datasets, the best approach involves the use of apps and permission sets. Here's why:
App Segregation: Creating a separate app for each department (Sales, Service, Marketing) allows for tailored dashboards and datasets to be grouped by department, facilitating easier management and navigation.
Shared Common Datasets: Placing common datasets in a shared app ensures that all departments can access necessary data without duplication, maintaining consistency and reducing storage requirements.
Use of Permission Sets: Leveraging permission sets to control access to these apps is a flexible and scalable approach. Permission sets can be finely tuned to grant or restrict access based on user roles within the organization, and they can be easily adjusted as roles or organizational structures change.
This structure not only ensures data security and appropriate access but also enhances the efficiency of managing CRM Analytics resources across different departments.
NEW QUESTION # 80
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?
- A. Clone the dashboard and replace one of the charts with the new rate chart.
- B. Create a component with the rate chart and insert it in one of the tooltips.
- C. Adjust the dashboard widgets to accommodate the rate chart.
Answer: B
NEW QUESTION # 81
Which Einstein Analytics asset or assets are created when using an App Template to create an app?
- A. An empty app
- B. The app, dataflows and datasets, and users
- C. The app, dataflows and datasets, and dashboards
- D. The app, dataflows and datasets, dashboards, and permission sets
Answer: C
NEW QUESTION # 82
A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?
- A. Use the Analytics REST API and leverage the -query" resource.
- B. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
- C. Export the dataset as a CSV file and load it to an external database.
- D. Use the Analytics External Data API and leverage the "query" resource.
Answer: D
NEW QUESTION # 83
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements'
- A. aster- info.j son
- B. ui.json
- C. template-to-app-rules.json
- D. template-info.json
Answer: D
NEW QUESTION # 84
A consultant created a dashboard using Einstein Analytics for her client, a shipping company. It sources data from very large datasets. Now the client has requested that the consultant add more steps to the dashboard.
To ensure that the dashboard has acceptable performance, what two actions should the consultant take? Choose 2 answers
- A. Check if any steps can be reused for multiple purposes.
- B. Split the steps and charts into different pages in a dashboard.
- C. Replace AggregateFlex steps with SAQL steps.
- D. Avoid using conditional formatting.
Answer: A,B
NEW QUESTION # 85
Where can you view the status of a CSV upload in Analytics?
- A. The data manager
- B. The Create Dataset page
- C. The Setup menu
- D. The Analytics home page
Answer: A
NEW QUESTION # 86
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.
Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue' Choose 2 answers
- A. Use 'Connect Data Sources" and create a connection to connect the two datasets.
- B. Use "Connect Data Sources" and create a connection to connect the two widgets.
- C. Use selection binding in the filters section of Che step "Step_pie_2."
- D. Use selection binding in the filters section of the step "Type_l."
Answer: A,C
NEW QUESTION # 87
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