質問 1: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. Adjust the dashboard widgets to accommodate the rate chart.
B. Clone the dashboard and replace one of the charts with the new rate chart.
C. Create a component with the rate chart and insert it in one of the tooltips.
正解:C
質問 2:Exhibit.
Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:
YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.
What is the correct function to use?
A. substr()
B. coalesce()
C. replace()
正解:B
質問 3:Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?
A. Open the Lightning page, remove the dashboard component, reinsert it, and save the page.
B. Check the Analytics Studio app to see if user's access has been removed.
C. Clone the dashboard and replace the existing one on the Lightning page with the new one
正解:B
質問 4:The marketing team at Cloud Kicks has five dashboards in an app. Four widgets are replicas of each other in three of the dashboards.
What is the best way to maintain these widgets?
A. Create/Edit a component for the widgets.
B. Create/Edit the widgets individually on each dashboard.
C. Create/Edit a lens and add each dashboard.
正解:A
解説: (Topexam メンバーにのみ表示されます)
質問 5:Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?
A. Analytics REST API used in conjunction with dataflows/recipes.
B. Microsoft Azure SQL Data Warehouse Connector used in Conjuction with dataflows/recipes
C. CRM Analytics Connector for Excel used in conjunction with dataflows/recipes
正解:B
解説: (Topexam メンバーにのみ表示されます)
質問 6:A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.
Which action should the CRM Analytics consultant take?
A. Split the analysis into multiple models with each having fewer products.
B. Use SKU numbers rather than product names to increase clarity.
C. Run the model using the default variables in the Product object.
正解:A
質問 7: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. the connected user's currency
B. In the integration user's currency
C. In the currency that Is set on the "currency" attribute.
正解:B
解説: (Topexam メンバーにのみ表示されます)
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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant 認定試験の出題範囲:
トピック | 出題範囲 |
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トピック 1 | - Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
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トピック 2 | - Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.
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トピック 3 | - Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.
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トピック 4 | - Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
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トピック 5 | - Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.
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