[Oct 16, 2023] Tableau-CRM-Einstein-Discovery-Consultant Test Engine files, Tableau-CRM-Einstein-Discovery-Consultant Dumps PDF
Latest Salesforce Tableau-CRM-Einstein-Discovery-Consultant PDF and Dumps (2023) Free Exam Questions Answers
NEW QUESTION # 25
After loading data to Einstein Discovery and creating a story, the client asks the Einstein Consultant to explain the "Unexplained Bar" in the "Why it Happened" chart.
Which explanation is correct?
- A. It should always be 0 or the model should not be used.
- B. It displays the difference between the analyzed data and the data not reviewed.
- C. It shows the difference between the predicted outcome and the observed outcome.
- D. It only appears for outcomes that do not have an explanation.
Answer: C
NEW QUESTION # 26
A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?
- A. Identify data types and define the appropriate data as numeric.
- B. Produce a graph of the data to analyze.
- C. Analyze data columns and decide which, if any, to drop.
- D. Load the data into Einstein Analytics
Answer: A
NEW QUESTION # 27
Exhibit:
A shipping company created a dataset. "Bookll," containing budget per region per month for the first six months of 2018. The dataset is shown in the graphic. Now, they want to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How can an Einstein Consultant help this company build this lens?
- A. Use a "Compare Table" and use the "Show summary" option.
- B. Use a "Compare Table" and add a column leveraging the "Running Total" function.
- C. Use a SAQL query to create fake rows for any data that is missing data from the dataset.
- D. Use a SAQL query leveraging the "fill" statement with a "partition" parameter.
Answer: D
NEW QUESTION # 28
The Universal Containers company uses a Microsoft Azure SQL Data Warehouse to gather information about sales representatives' objectives. They want to use Einstein Analytics to gain insights from this data; therefore, they need to automatically load the warehouse's data into an Einstein Analytics dataset on a daily basis. The data also needs to be transformed and merged with data from the company's org.
Which three Einstein Analytics user interface features can be used to complete these requirements? Choose 3 answers
- A. Dataflow
- B. Einstein Analytics Connector for Excel
- C. Microsoft Azure SQL Data Warehouse Connector
- D. Analytics REST API
- E. Recipes
Answer: A,C,E
NEW QUESTION # 29
How many concurrent stories per org are allowed?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 30
After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high?
What is the most likely multiple for this?
- A. The dataset contains too many rows.
- B. The dataset used in the story suffers from too many outlier values.
- C. The dataset contains multiple dominant values.
- D. The outcome variable is causing data leakage.
Answer: C
NEW QUESTION # 31
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 objects that can be enabled for data sync (replication)
- C. Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed
- D. Maximum number of dataflow definitions
Answer: B,D
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_limits.htm&type=5
NEW QUESTION # 32
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.
What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app'
- A. Update contents in the Sales Operations app and create new template versions of the app.
- B. Update contents in the Sales Operations app and changes will be pushed down to its generated apps.
- C. Ensure the Sales team has the necessary permissions to customize their apps.
- D. Create a configuration wizard for the app.
Answer: D
Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_in_action
NEW QUESTION # 33
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. Reorganize the dashboard widgets.
- B. Move calculations to a dataflow.
- C. Use SAQL code to join datasets at runtime.
- D. Replace separate step filters with a global filter.
- E. Distribute steps among separate pages.
Answer: B,D,E
NEW QUESTION # 34
In what order does Einstein Discovery present the insights that it uncovers?
- A. B and D
- B. Alphabetical, in descending order
- C. Alphabetical, in ascending order
- D. Insights that explain the most variation in the outcome variable, in ascending order
- E. Insights that explain the most variation in the outcome variable, in descending order
Answer: E
NEW QUESTION # 35
An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?
- A. Show the customer how to export and review the R-Code model validation results
- B. Consult with a Data Scientist to validate the findings
- C. Check the p-values and standard deviation
- D. Use the Share and Export feature to help the customer determine if the findings make logical sense
Answer: D
NEW QUESTION # 36
Creating an Einstein Discovery story involves:
- A. Selecting a Dataset in Einstein Analytics, then clicking Create Story
- B. Uploading a Microsoft® PowerPoint® presentation
- C. Copying text from company reports and pasting into Einstein Discovery
- D. Entering notes about the data
Answer: A
NEW QUESTION # 37
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. computeRelative Transformation with SAQL Expression to calculate the duration
- C. flatten Transformation with Offset Expressions to calculate the duration
- D. computeExpression Transformation with SAQL Expression to calculate the duration
Answer: B
Explanation:
https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htm
NEW QUESTION # 38
Upper and lower limits on columns (vars) in discovery:
- A. 2 column minimum, 50 maximum
- B. 20 column minimum, 50 maximum
- C. 2 column minimum, 25 maximum
- D. 10 column minimum, 200 maximum
Answer: A
NEW QUESTION # 39
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 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.
- D. Create a link to download the list of opportunities as an Excel file.
Answer: A
Explanation:
https://help.salesforce.com/articleView?id=bi_dashboard_pages.htm&type=5
NEW QUESTION # 40
A consultant is asked to configured a user to view a dashboard, within a designated app, without the ability to create and save lenses.
After adding the user to the app, which action should the consultant take to implement this requirement?
- A. Assign the Manager role the user
- B. Assign the Editor role the user
- C. Assign the view role to the user
- D. Ensure the user has the Analytics permission
Answer: D
NEW QUESTION # 41
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 Salesforce External Connector to get predictions from Einstein Discovery.
- B. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
- C. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
- D. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
Answer: C
Explanation:
https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5
NEW QUESTION # 42
The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?
- A. Line over Stacked Bar
- B. Grid over Bar
- C. Line over Bar
- D. Line over Scatter Plot
Answer: C
NEW QUESTION # 43
The Universal Containers company built three Einstein Discovery stories that they want to use in Salesforce to predict and maximize their revenue per customer. The stories are for every region where they have business: EMEA, AMER, and APAC.
How can a consultant help them deploy the three Einstein models to Salesforce?
- A. Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.
- B. Segment the account data per region and deploy the same model to all segments.
- C. Segment the account data per region and deploy the appropriate model for each segment.
- D. Deploy the same model to all accounts and set the region field as an actionable variable.
Answer: C
Explanation:
https://help.salesforce.com/articleView?id=bi_edd_model_deploy_filter.htm&type=5
NEW QUESTION # 44
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
What solution should be recommended?
- A. Create two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as
"viewer." Add the datasets as references to both custom apps. - B. Create three custom apps: one for marketing dashboards with marketing as "viewer," one for sales dashboards with sales as
"viewer," and one for datasets where marketing and sales are "viewer." - C. Create one custom app for the datasets and share it with marketing and sales as "viewer."
- D. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor."
Answer: B
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_security_implementation_guide.htm&type=5
NEW QUESTION # 45
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to "augment" the dataflow.
Which phrase describes this transformation?
- A. Join data similar to an SQL statement
- B. Add data as a lookup relationship (left side is the lowest grain)
- C. Join data based on a many-to-many relationship
- D. Add data based on the right-side grain
Answer: B
Explanation:
https://trailhead.salesforce.com/en/content/learn/modules/wave_enable_data_integration_basics/wave_extract_salesforce_data
https://help.salesforce.com/articleView?id=bi_integrate_augment_transformation.htm&type=5
NEW QUESTION # 46
Creating an Einstein Discovery story involves:
- A. Selecting a Dataset in Einstein Analytics, then clicking Create Story
- B. Copying text from company reports and pasting into Einstein Discovery
- C. Uploading a Microsoft PowerPoint presentation
- D. Entering notes about the data
Answer: A
NEW QUESTION # 47
What are the steps in the data exploration process?
- A. View, Explore, Refine, Save, Share
- B. Download, View, Refine, Save, Share
- C. View, Explore, Reduce, Save, Share
Answer: A
NEW QUESTION # 48
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