Tableau-CRM-Einstein-Discovery-Consultant PDF問題集で2024年04月26日最近更新された問題
Tableau-CRM-Einstein-Discovery-Consultant試験問題有効なTableau-CRM-Einstein-Discovery-Consultant問題集PDF
質問 # 72
What is a keyword in SAQL? And what case must it be in?
- A. A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.
正解：A
質問 # 73
Default # rows in compare table.
- A. 0
- B. 1
- C. 2
- D. 3
正解：A
質問 # 74
An Einstein Analytics team plans to enable data sync (replication).
Which two limits are specific to data sync (replication) and should be considered before enabling the feature because they might impact existing jobs?
Choose 2 answers
- A. Maximum number of dataflow transformations
- B. Maximum number of dataflow definitions
- C. Maximum number of objects that can be enabled for data sync (replication)
- D. Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed
正解：B、C
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_limits.htm&type=5
質問 # 75
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：C
質問 # 76
An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?
- A. Create a Visualforce page and display a list view of the opportunities on this new page.
- B. Create a second dashboard and move the table to this new dashboard.
- C. Create a link to download the list of opportunities as an Excel file.
- D. Create a second page on the dashboard and move the table to this new page.
正解：D
解説：
Reference:
https://help.salesforce.com/articleView?id=bi_dashboard_pages.htm&type=5
質問 # 77
A Tableau CRM consultant develops a dashboard called
SalesPerformance_l in a sardbox environment. To deploy the recipe the consultant creates a package in workbench What is the correct meta data reference in the xml file?
- A. SalesPefformance_1
- B. SalesPerformance_1 waveDashboard
- C. SalesPerformance_1 EdgeOashboard
- D. SalesPerformance_1 EADashboard
正解：B
質問 # 78
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?
- A. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
- B. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
- C. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
- D. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
正解：B
解説：
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2
質問 # 79
A consultant wants to optimize data loads by extracting Salesforce objects using independent Einstein Analytics dataflows ahead of time. Which construct should be used to accomplish this?
- A. Clone
- B. Dataflow
- C. Data Sync (Replication)
- D. Augment
正解：D
質問 # 80
To model customer value, a consultant decided to aggregate the amount ($) individual customers spent over a 2-year span.
With reference to the outcome variable, which action should the consultant take?
- A. Select the option: Are you expecting a whole number greater than or equal to 0?
- B. Select to minimize the outcome variable.
- C. Create five bins of revenues, ranging from Very High Value, high Value, average Value, Low Value, and very Low Value in dataflow.
- D. Create five bins or revenue, ranging from very high Value, High Value, Average Value, Low Value, and Very Low Value in data prep.
正解：A
質問 # 81
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 # 82
Insights in a story show you how different variables and combinations of variables explain the variation of what kind of variable?
- A. Outcome variable
- B. Explanatory variable
- C. Tertiary variable
- D. Global variable
- E. Local variable
正解：A
解説：
Reference:
When you configure the story, you tell Einstein Discovery to maximize/minimize the variable. The variable is 'outcome variable' in your story
質問 # 83
You can get data into Einstein Discovery:
- A. By using an Einstein analytics dataset
- B. Only if your database administrator does it for you
- C. By connecting a USB drive to your laptop
- D. Only if Salesforce does it for you
正解：A
解説：
https://trailhead.salesforce.com/content/learn/modules/wave_exploration_smart_data_discovery_basics/wave_get_smart_data_discovery_and_data
質問 # 84
What are two benefits of designing using the "Progressive Disclosure" principle? Choose 2 answers
- A. Better dashboard performance
- B. Discounted EA licenses when growth is achieved
- C. Automatic conditional formatting
- D. improved ease of use for end users
正解：A、D
解説：
Reference:
https://developer.salesforce.com/blogs/developer-relations/2017/04/lightning-components-performance-best-practices.html
質問 # 85
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 Einstein Consultant take?
- A. Split the analysis into multiple models will each having fewer products
- B. Run the model using the default variables in the Product object
- C. Adjust the model to eliminate extreme values in the outcome variable.
- D. Use SKU numbers rather than product names to increase clarity.
正解：D
質問 # 86
Concurrent queries per user?
- A. 0
- B. 1
- C. 2
- D. 3
正解：C
質問 # 87
Trending data limits: Maximum number of trended datasets per user and rows per snapshot:
- A. 5 per user, 100,000 per snapshot
- B. 10 per user, 200,000 per snapshot
- C. 5 per user, 200,000 per snapshot
- D. 10 per user, 100,000 per snapshot
正解：A
質問 # 88
What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?
- A. Advise them that the use case may not be accurate.
- B. Recommend using a visualization tool, like Einstein Analytics, to uncover the details.
- C. Highlight that Einstein reduces time to insight, which is much faster than learning from experience.
- D. Remind them that the technology is only as good as the data.
正解：D
質問 # 89
What are two core design principles to consider when building Analytics apps or dashboards? Choose 2 answers
- A. Emphasis: make sure they have space for important information, such as headlines and key charts.
- B. Consistency: make sure they have a sense of familiarity to strengthen your users' ease of use.
- C. Clarity: make sure they are uncluttered and easy to interpret.
- D. Balance: make sure they have a balance of different charts to get a more interesting design.
正解：B、C
解説：
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/analytics-app-design/principles-good-design
質問 # 90
To use the Sales Analytics app, which permission set license do you need?
- A. Sales Wave
- B. Sales Analytics Apps
- C. Security User
- D. Analytics Templated Apps
正解：B
解説：
Each prebuilt Analytics app has its own PSL. When you set up permissions for those apps, select the right PSL. For Service Analytics, select "Service Analytics Apps." For Event Monitoring, select "Event Monitoring Analytics Apps," and so on.
質問 # 91
What does Einstein Analytics check when a user submits a query against a dataset?
- A. If the user has access to the dataset
- B. Whether the user has access to the app
- C. Which fields the user has access to
- D. Which rows the user has access to
正解：D
質問 # 92
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 selection binding in the filters section of Che step "Step_pie_2."
- B. Use selection binding in the filters section of the step "Type_l."
- C. Use "Connect Data Sources" and create a connection to connect the two widgets.
- D. Use 'Connect Data Sources" and create a connection to connect the two datasets.
正解：A、D
質問 # 93
Upper and lower limits on rows in discovery.
- A. 3000 row minimum, 20,000,000 max
- B. 00 row minimum, 20,000,000 max
- C. 500 row minimum, 25,000,000 max
- D. 1000 row minimum, 15,000,000 max
正解：B
質問 # 94
The Tableau CRM team at a company creates three recipes.
1) myRecipeOne: this recipe takes 2 hours to run.
2) mvRedpeTwo: this recipe takes 1 hour and 30 minutes to run.
3) myRecipeThree: this recipe takes 1 minute and 30
seconds to run.
If all three recipes run, how many count towards the 24 hour rolling recipe run limit.
- A. 0
- B. 1
- C. 2
- D. 3
正解：B
質問 # 95
Number of queries per user per day
- A. 10,000
- B. 1,000
- C. 20,000
- D. 50,000
正解：A
質問 # 96
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Salesforce Tableau CRM Einstein Discovery Consultant試験は、105分以内に回答する必要がある60の多肢選択式の質問で構成されています。試験はコンピューターベースであり、いつでもいつでも撮影できます。試験の費用は400ドルであり、候補者は認定されるには65％以上の合格スコアを達成する必要があります。
Salesforce Tableau CRM Einstein Discovery Consultant Examは、60の質問で構成される複数選択試験です。候補者は試験を完了するのに105分で、合格するには少なくとも68％を獲得する必要があります。この試験では、データモデリング、データの準備、データの視覚化、機械学習、予測分析など、さまざまなトピックをカバーしています。成功した候補者は、Salesforce Tableau CRM Einstein Discovery Consultant Certificationを獲得します。これは、キャリアを進め、潜在的な雇用主に専門知識を実証するのに役立つ貴重な資格です。
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Tableau-CRM-Einstein-Discovery-Consultant練習テスト問題解答更新された244問があります：https://drive.google.com/open?id=1cTgckGcESeA24nkfY2NYAPmfG0aWzJiE