最新Tableau-CRM-Einstein-Discovery-Consultant合格保証試験問題集には正確で最新な問題があります
Tableau-CRM-Einstein-Discovery-Consultant試験ブレーン問題集で学習注釈と理論
質問 # 31
What kind of org should you use for checking challenges when you do Trailhead modules about Analytics?
- A. An enterprise org, because that type of org is typically used by large companies
- B. A higher education org, because analytics requires advanced math
- C. A trial org, because you don't need to save anything
- D. A Developer Edition org, because it's a free, safe environment where you can try things out
正解：D
質問 # 32
An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?
- A. In Explorer, go to the Fields menu and then customize the number format of the measure.
- B. Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
- C. Use the XMD node in the dataflow to customize the number format of the field.
- D. Customize the number format in the number widget properties of the dashboard.
正解：B
質問 # 33
Can you share dashboards with others in your org?
- A. Click on the "Share" icon on the dataset.
- B. No, you can't share dashboards.
- C. Click on the "Share" icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot
- D. Click on the "Share" icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.
正解：D
質問 # 34
What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?
- A. Recommend using a visualization tool, like Einstein Analytics, to uncover the details.
- B. Advise them that the use case may not be accurate.
- C. Remind them that the technology is only as good as the data.
- D. Highlight that Einstein reduces time to insight, which is much faster than learning from experience.
正解：C
質問 # 35
A Salesforce administrator wants to create a new dashboard that uses custom geoJSON to display data; however, the administrator is unable to upload the file via the UI.
What should be done?
- A. Upload the geoJSON via the API because it is not a function in the UI.
- B. Add the system permission "Manage Analytics Custom Maps" to the permission set used.
- C. Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.
- D. Enable "Custom maps with geoJSON" in the analytics settings.
正解：B
解説：
https://help.salesforce.com/articleView?id=bi_chart_intro_custom_map.htm&type=5
質問 # 36
To see predictive insights, what option do you select in the Story toolbar?
- A. What Happened
- B. How Can I Improve It
- C. Predictions & Improvements
- D. Why It Happened
- E. What Changed Over Time
正解：C
質問 # 37
How do you analyze data from a CSV file using Einstein Discovery?
- A. You can't import data from a CSV file
- B. Import the CSV file into Einstein Discovery.
- C. Import the CSV file into an Einstein Analytics dataset, then create a story.
- D. Import the CSV file into the most similar Salesforce object, then run reports on that object.
正解：C
質問 # 38
A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?
- A. computeRelative Transformation with offset parameter to calculate the duration
- B. flatten Transformation with Offset Expressions to calculate the duration
- C. computeExpression Transformation with SAQL Expression to calculate the duration
- D. computeRelative Transformation with SAQL Expression to calculate the duration
正解：D
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htm
質問 # 39
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?
- A. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
- B. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
- C. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
- D. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
正解：B
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5
質問 # 40
Exhibit:
A company wants to create a timeline chart to visualize the evolution of their Closed Won Opportunities. What are the required parameters to build a lens that displays output similar to the image shown?
- A. 1 measure, 0 groupings if trellis is disabled, or 0-2 groupings if trellis is enabled
- B. 1 measure, 1 grouping by a date field, and either 0-1 groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled
- C. 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
- D. 2 measures, 0-2 groupings if trellis is disabled, or 0-4 groupings if trellis is enabled
正解：B
質問 # 41
Why is it important to select the right root object when you use the dataset builder?
- A. The root object determines what related objects you can add to the dataset.
- B. The root object determines what app the dataset is saved in.
- C. The root object determines who can see the dataset.
- D. Only data from the root object can be included in the dataset.
正解：A
質問 # 42
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 November sales in the country
- B. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.
- C. The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.
- D. November sales are higher than in other months. This November-effect is the strongest in San Francisco.
正解：B、C
質問 # 43
Which of the following are requirements for enabling Analytics for Communities?
- A. B and D
- B. Assign your community members the Analytics for Communities permission set license.
- C. Be nominated by your community peers.
- D. Wait at least 3 days after purchase.
- E. Have a Customer Community Plus or Partner Community license.
正解：A
解説：
Reference:
Community member should have assigned:
- 'Analytics for Communities' permission set license - a permission set that includes the 'View Analytics on Communities pages' Only users with a Customer Community Plus or Partner Community license can use this feature. This feature is supported in communities but not in portals.
質問 # 44
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. template-info.json
- B. ui.json
- C. template-to-app-rules.json
- D. aster- info.j son
正解：A
質問 # 45
The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers
- A. Deploy the story, because the variation in the metrics is within the normal range.
- B. Confirm that the overall GINI coefficient is good prior to deploying the story.
- C. Do not deploy the story immediately, and research why one fold is performing worse than the others.
- D. Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
正解：B、C
質問 # 46
A Salesforce administrator wants to create a new dashboard that uses custom geoJSON to display data; however, the administrator is unable to upload the file via the UI.
What should be done?
- A. Upload the geoJSON via the API because it is not a function in the UI.
- B. Add the system permission "Manage Analytics Custom Maps" to the permission set used.
- C. Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.
- D. Enable "Custom maps with geoJSON" in the analytics settings.
正解：B
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_chart_intro_custom_map.htm&type=5
質問 # 47
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
正解：A
質問 # 48
A company uses role hierarchy to implement data security in Salesforce. They want the same role-hierarchy-based security model to apply in Einstein Analytics, but want the users in a role to see data owned by other users in the same role.
Using the "flatten" transformation, which attribute setting achieves this requirement?
- A. Set the attribute "include_self_id" to true.
- B. Set the attribute "include_self_id" to false.
- C. Set the attribute "selfjield" to false.
- D. Set the attribute "selfjield" to true.
正解：A
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_integrate_flatten_transformation_operation.htm&type=5
質問 # 49
A consultant wants to understand what the important predictors are in the story.
What are two places where this information can be found?
Choose 2 answers
- A. In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.
- B. In the Model Metrics section, where the top predictors are listed
- C. In the Model Deployment Wizard while selecting the actionable fields
- D. In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn't hold any Important predictors but only weak (probably unrelated) terms.
正解：A、B
質問 # 50
A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers
- A. Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
- B. Validate that there is enough data in the dataset to make a good prediction.
- C. Investigate which prediction model is best for the data available.
- D. Include the fill SAQL statement to fill any missing dates.
正解：B、D
質問 # 51
Which Einstein Analytics asset or assets are created when using an App Template to create an app?
- A. The app, dataflows and datasets, dashboards, and permission sets
- B. The app, dataflows and datasets, and dashboards
- C. An empty app
- D. The app, dataflows and datasets, and users
正解：B
質問 # 52
......
Salesforce Tableau CRM Einstein Discovery Consultant Certificationを獲得することにより、このプラットフォームでの専門知識を潜在的な雇用主、顧客、パートナーに実証することができます。この認定は、この分野の他の専門家から際立って、キャリアの機会を増やすのに役立ちます。さらに、Salesforceは、試験の準備を支援するために、トレーニングコースや認定準備資料など、さまざまなリソースを提供しています。
Salesforce Tableau-CRM-Einstein-Discovery-Consultant認定を取得することは、ビジネスの意思決定をデータ分析と可視化を通じて支援するために必要な知識とスキルを持っていることを証明します。この認定は雇用主に高く評価され、データ分析分野でのキャリアアップに役立つことがあります。この試験に合格することで、Tableau CRMとEinstein Discoveryを使用してビジネスがデータから洞察を得てデータに基づく意思決定を行うための専門知識を証明します。
合格させるSalesforce Tableau-CRM-Einstein-Discovery-Consultantテスト練習問題 試験問題集：https://www.passtest.jp/Salesforce/Tableau-CRM-Einstein-Discovery-Consultant-shiken.html
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