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質問 # 26
What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics?
- A. Change a field's format
- B. All of the above
- C. Change a field's type
- D. Change a field's name
正解：B
質問 # 27
A consultant built a Tableau CRM dashboard for a shipping company. The consultant enabled data sync (replication) to increase the speed to datasets refreshing.
How often will the data on the dashboard be refreshed?
- A. When the dashboard viewer clicks the Refresh button.
- B. When the Data Sync runs to completion, and then recipe runs to completion.
- C. Each time a user opens the dashboard
- D. When recipe runs to completion, and then Data Sync runs to completion.
正解：D
質問 # 28
In a Compare Table formula, you can refer to other columns with:
- A. Their names
- B. Numbers (1..9)
- C. All of the above
- D. Letters (A..Z)
正解：D
質問 # 29
Is there a need for a separate Permission Set Licence for an Analytics app?
- A. No
- B. Yes
正解：B
質問 # 30
Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.
What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?
- A. 0
- B. 1
- C. 2
- D. unlimited
正解：C
質問 # 31
Which capability can a consultant use if "Deploy without connecting to a Salesforce Object" is selected while deploying the model?
- A. No-Code Writeback to SFDC objects
- B. Einstein Predictions Component score
- C. Predict Function in Salesforce flows
正解：C
解説：
When deploying a model with the option "Deploy without connecting to a Salesforce Object", the suitable capabilities include:
Use of Predict Function in Salesforce Flows: This capability allows the deployed model to be used within Salesforce Flow as a predictive tool, enabling automation flows to include predictions without directly writing back to Salesforce objects.
Flexibility in Application: This method provides flexibility in how predictions are utilized across various Salesforce processes and workflows, without the need for direct data manipulation within Salesforce objects.
Enhanced Workflow Integration: By integrating predictive insights directly into flows, organizations can automate decision-making processes, enhance user interactions, and streamline operations based on predictive outcomes.
This setup aligns with Salesforce's best practices for leveraging CRM Analytics to enhance operational efficiency and decision accuracy across different business functions.
質問 # 32
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. Drop the field as it will be difficult to get future respondents.
- C. Fill in the missing data with an average of all incomes.
正解：A
解説：
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
質問 # 33
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. 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 the same dashboard,
- B. "Tablet" or "Phone" layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in a small frame, or if the browser window is small.
- C. 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.
正解：B
解説：
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.
質問 # 34
In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records.
Which SAQL statement will fetch all Opportunities, even if they don't have associated Activities, and fetch related Activity data, if it exists?
- A. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';
- B. q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';
- C. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
- D. q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';
正解：D
解説：
https://developer.salesforce.com/docs/atlas.en-us.bi_dev_guide_saql.meta/bi_dev_guide_saql/bi_saql_statement_cogroup.htm
質問 # 35
Universal Containers (UC) is a multinational company that utilizes Salesforce and has a variety of internal systems. UC uses Einstein Analytics for their data analysis platform and they want to automate their weekly manual process to create a dataset from their on-premise data warehouse. Which solution should a consultant recommend to meet this requirement?
- A. Utilize Analytics Connector.
- B. Utilize a Salesforce weekly export feature
- C. Utilize middleware with Analytics External Data API
- D. Utilize a dataflow
正解：C
質問 # 36
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?
- A. Create a second page on the dashboard and move the table to this new page.
- B. Create a second dashboard and move the table to this new dashboard.
- C. Create a Visualforce page and display a list view of the Opportunities on this new page.
正解：A
解説：
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
質問 # 37
A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?
- A. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
- B. Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
- C. Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
- D. Ask the credit card company for a more comprehensive dataset to analyze.
正解：A
質問 # 38
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?
- A. Choose the recommended action "keep only North America" and exclude all of the other rows.
- B. Understand if client should only "focus on North America" or drop the field, as it does not have valuable information.
- C. Append more rows of data with "other values of Region" to balance the dataset properly.
正解：B
質問 # 39
A system administrator at Cloud Kicks creates a joined report to showcase the new business deals closing in the current quarter, which was well received by the business stakeholders. A manager wants to visualize this report on CRM Analytics.
The CRM Analytics consultant determines the report can be trended on CRM Analytics, but it's not working as expected.
What is causing the issue?
- A. The Analytics Integration user did not have permission to view the report on Salesforce.
- B. Trending dashboards cannot be created from joined reports.
- C. The Salesforce report was filtered on quarterly data which meant it did not have enough data to trend on CRM Analytics.
正解：B
質問 # 40
A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments.
Which three actions can the consultant take to improve dashboard performance? Choose 3 answers
- A. Move calculations to a dataflow.
- B. Reorganize the dashboard widgets.
- C. Replace separate step filters with a global filter.
- D. Use SAQL code to join datasets at runtime.
- E. Distribute steps among separate pages.
正解：A、C、E
質問 # 41
Max story creations per org per month
- A. 500 (can purchase more)
- B. 0
- C. 1000 (can purchase more)
- D. 200 (can purchase more)
正解：A
質問 # 42
What are various ways to incorporate blank space in a CRM Analytics dashboard?
- A. 1. Increase the dashboard granularity via columns, and use blank columns.Use pages to break content into multiple tabs.
- B. Use the "Fine" row height option in layout properties, and use blank rows, Use the "With Spacing" row height property.
- C. 1. Use the "Cell Spacing" layout property.
2. Increase the dashboard granularity via columns, and use blank columns.
正解：C
解説：
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.
質問 # 43
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?
- A. Use the Filtered Rows sampling mode under Data Preview Sampling to filter records.
- B. Register the Salesforce object and use Filtered Rows under Data Preview Sampling.
- C. Update the Sample Size under Data Preview Sampling to 5,000 rows.
正解：A
質問 # 44
Which security option is not available in Einstein Analytics for securing datasets?
- A. Field-level security
- B. App level security
- C. Row-level security with security predicates
- D. Inherited security
正解：A
質問 # 45
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. Export the dataset as a CSV file and load it to an external database.
- B. Use the Analytics External Data API and leverage the "query" resource.
- C. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
- D. Use the Analytics REST API and leverage the -query" resource.
正解：B
質問 # 46
Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?
- A. In the currency that Is set on the "currency" attribute.
- B. In the integration user's currency
- C. the connected user's currency
正解：B
解説：
When a dataset like "OpportunityDataSet" is populated through a dataflow or recipe in CRM Analytics, the currency values (such as the standard field "Amount") will be displayed in the currency of the integration user unless there is specific currency conversion logic set up within the dataset or recipe. The integration user is the user whose credentials are used to run the dataflow and extract data, and their currency setting will dictate how numeric currency values are displayed unless overridden.
質問 # 47
A consultant is tasked with creating a dataset and a dashboard for a sales team. During the requirements gathering, it was highlighted that security of the data is important.
It was noted that the Opportunity object has organization-wide defaults set to Private with access via the role hierarchy. Sales wants to keep this security in place for the dashboard. Looking at the Opportunity data, the consultant sees that the VP of sales can have access to up to 20,000 records and is unsure if sharing inheritance can be used.
Which approach ensures data security for the new Opportunity dataset?
- A. Flatten the role hierarchy in the dataflow recipe and set a security predicate based on Opportunity owner and role path.
- B. Enable Inherit Sharing from Salesforce in the analytics settings and set Opportunity as the source on the dataset.
- C. Run the Sharing Inheritance Coverage Assessment for the Opportunity object in the analytics settings.
正解：C
解説：
For ensuring that the security settings on the Opportunity object are appropriately replicated in the CRM Analytics environment, running the Sharing Inheritance Coverage Assessment is an effective strategy. Here's why:
Assessment of Inheritance Feasibility: This tool assesses whether sharing rules on the Opportunity object can be effectively inherited in the analytics environment, ensuring that the organization-wide defaults and role hierarchy are maintained.
Identification of Limitations: The assessment will identify any potential issues or limitations with inheriting sharing settings due to the large number of records (up to 20,000 for the VP of Sales), providing clear insights on how to proceed.
Guided Decision Making: Based on the outcome of the assessment, the consultant can make informed decisions about whether to directly inherit sharing or consider alternative strategies like flattening the role hierarchy or using security predicates.
質問 # 48
Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the samedepartment 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 roles to share apps.
- B. Create one app for each department, put common datasets in the shared app, and use profiles to share apps.
- C. Create one app for each department, put common datasets in the shared app, and use permission sets to share apps.
正解：C
解説：
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.
質問 # 49
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?
- A. Join
- B. Flatten
- C. Aggregate
正解：B
質問 # 50
A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their API labels, 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 field labels can only be changed in the widget properties in the dashboard edit mode.
- B. The default fields in a values table can be changed by reordering how fields appear in the JSON of the value table.
- C. The default fields In a values table and the field labels can be modified in the dataset explorer.
正解：C
解説：
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.
質問 # 51
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