手に入れよう!は2025年最新の有効な実践問題であなたのCRM-Analytics-and-Einstein-Discovery-Consultant試験を合格させる(本日更新された117問) [Q28-Q46]

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手に入れよう!は2025年最新の有効な実践問題であなたのCRM-Analytics-and-Einstein-Discovery-Consultant試験を合格させる(本日更新された117問)

Salesforce Consultant CRM-Analytics-and-Einstein-Discovery-Consultant試験実践テスト問題集解答豪華セットを使おう!


Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • 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.
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.
トピック 3
  • 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.
トピック 4
  • 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.
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.

 

質問 # 28
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?

  • A. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
  • B. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
  • C. Use a field on the user record like Department/Region, and apply row-level security based on that field.

正解:C

解説:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.


質問 # 29
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.
In which two ways can this be accomplished? Choose 2 answers

  • A. Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.
  • B. In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.
  • C. Create an XMD node in the dataflow to change the label and color of the values in the fields.
  • D. In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.

正解:A、B


質問 # 30
What's the magic of faceting?

  • A. It turns the dataflow on and off.
  • B. It shifts the time period of the chart you're viewing.
  • C. It creates a chart that shows all the faces of your data in a diamond chart.
  • D. It binds charts together so that selecting something in one chart filters other charts by that choice.

正解:D


質問 # 31
Universal Containers has a dashboard for sales managers. They need to visualize the percentage of their opportunities in the pipeline in a Gauge chart. They want to customize the chart to keep track if they are below or beyond the target.

Which widget parameters should a consultant use?

  • A. Reference Line, Angle, Range Values
  • B. Reference Line, Markers, Conditional Formatting
  • C. Range Values, Angle, Conditional Formatting

正解:B

解説:
In the scenario described, the sales managers at Universal Containers require a Gauge chart that not only shows the current percentage of opportunities in their pipeline but also indicates whether they are below or beyond their set targets. The appropriate widget parameters to achieve this visualization in Salesforce CRM Analytics (formerly known as Einstein Analytics) are:
Reference Line: This parameter is crucial for defining a specific target value on the gauge chart. It visually marks a point that represents the target goal, providing an immediate visual cue as to whether the current percentage is below or above this point.
Markers: Markers are used to represent and highlight specific values on the gauge chart. They can be utilized to emphasize the current percentage level of the pipeline, making it instantly visible how close or far the current value is from the reference line or target.
Conditional Formatting: This feature allows the chart to change color or style based on whether the current values meet, exceed, or fall below the target. It is a critical visual tool for quickly communicating performance against targets. Conditional formatting can be set to alter the appearance of the gauge's fill color based on whether the values are above, equal to, or below the reference line, thereby providing an intuitive visual representation of performance relative to targets.
The combination of these three parameters enables a highly effective visualization for sales managers to monitor their performance against key metrics and targets directly on their dashboards. This setup is aligned with Salesforce's best practices for creating meaningful and actionable insights within CRM dashboards, ensuring that users can easily interpret and react to the data presented.
For more details on configuring these parameters, you can refer to Salesforce documentation and specific Trailhead modules that cover dashboard creation and customization:
Wave Analytics Explorer
Building Lenses, Dashboards, and Apps in CRM Analytics
These resources provide in-depth training and examples to help users effectively use Salesforce CRM Analytics for a wide range of data visualization needs.


質問 # 32
What kind of org should you use for checking challenges when you do Trailhead modules about Analytics?

  • A. A higher education org, because analytics requires advanced math
  • B. An enterprise org, because that type of org is typically used by large companies
  • C. A Developer Edition org, because it's a free, safe environment where you can try things out
  • D. A trial org, because you don't need to save anything

正解:C


質問 # 33
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. Trending dashboards cannot be created from joined reports.
  • B. The Salesforce report was filtered on quarterly data which meant it did not have enough data to trend on CRM Analytics.
  • C. The Analytics Integration user did not have permission to view the report on Salesforce.

正解:A


質問 # 34
A Tableau CRM consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal'CountyTax).
Which node should the consultant use in a recipe to calculate and insert SalesTax to the dataset?

  • A. join
  • B. Append
  • C. Transform
  • D. Update

正解:C


質問 # 35
The Universal Containers Einstein Analytics team built a dashboard with two widgets:
1. List widget associated to the step "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Pie chart widget associated to the step "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings so any selection in the List widget will filter the Pie chart.
Additional notes:
* The steps use different datasets.
* Users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding?

  • A.
  • B.
  • C.
  • D.

正解:B


質問 # 36
A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at 6:00 AM EST.
How should the consultant proceed?

  • A. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
  • B. Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
  • C. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.

正解:C


質問 # 37
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers

  • A. Bring Your Own Key is not supported.
  • B. When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
  • C. By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.
  • D. The customer's org must have a Shield Platform Encryption tenant secret.

正解:B、D

解説:
https://help.salesforce.com/articleView?id=bi_analytics_encryption.htm&type=5


質問 # 38
In a Compare Table formula, you can refer to other columns with:

  • A. Letters (A..Z)
  • B. Numbers (1..9)
  • C. Their names
  • D. All of the above

正解:A


質問 # 39
What can you change in a Compare Table formula column?

  • A. The formula and the name
  • B. The grouping
  • C. The measure
  • D. The filters

正解:A


質問 # 40
A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names.
How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?

  • A. append
  • B. compute Expression
  • C. flatten
  • D. compute Relative

正解:B


質問 # 41
What are predictive insights good for?

  • A. Exploring your existing data to see what already happened
  • B. Drilling down into the underlying reasons behind a prediction
  • C. Predicting outcomes that you don't actually have the right data for
  • D. Choosing between all possible outcomes for a single variable

正解:B


質問 # 42
An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.
How should this metric be calculated?

  • A. Create a computeExpression in the dataflow.
  • B. Create a new step in the dashboard using a compare table and the running total function.
  • C. Create a new step in the dashboard using a compare table and define a formula.
  • D. Create a formula field on the lead object in Salesforce and add it to the dataset.

正解:A


質問 # 43
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically.
What two conclusions can be drawn from this insight?

  • A. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.
  • B. The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.
  • C. November sales are higher than in other months. This November-effect is the strongest in San Francisco.
  • D. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

正解:A、B


質問 # 44
A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data was uploaded 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. JSON metadata file was not uploaded along with the CSV data file.
  • B. Proper transformations need to be performed at the external source prior to External Data API callout.
  • C. The field value added in the CSV file was contained within double quotes.

正解:A


質問 # 45
A large company has a single dataset that contains the attainment and commission fields for all sales reps. Each sales rep should be able to view the attainment data for each rep in their division. Each rep should only be able to see their own commission data.
Which option should be used to enforce this requirement?

  • A. Apply a security predicate on the existing single dataset.
  • B. Use sharing inheritance.
  • C. Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.
  • D. Add the sales organization to the attainment dataset access list.

正解:C


質問 # 46
......

完全版最新の問題集PDFで最新CRM-Analytics-and-Einstein-Discovery-Consultant試験問題と解答:https://www.jpntest.com/shiken/CRM-Analytics-and-Einstein-Discovery-Consultant-mondaishu

本日更新された最新のCRM-Analytics-and-Einstein-Discovery-ConsultantのPDFはCRM-Analytics-and-Einstein-Discovery-Consultant無料お試し可能です:https://drive.google.com/open?id=1TGP5fc8kGHY71JmzQXrnZrWLVp1vX9_L

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