Get Feb-2024 updated Einstein-Analytics-and-Discovery-Consultant Certification Exam Sample Questions [Q47-Q66]

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Get Feb-2024 updated Einstein-Analytics-and-Discovery-Consultant Certification Exam Sample Questions

Einstein-Analytics-and-Discovery-Consultant Study Guide Cover to Cover as Literally

Q47.

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.
Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? (Choose two.)

Use selection binding in the filters section of the step “Step_pie_1”.

Use selection binding in the filters section of the step “Region_1”.

Enable the option “Apply filters from faceting” in the step “Region_1”.

Enable the option “Apply filters from faceting” in the step “Step_pie_1”.

Q48. A consultant created an Einstein Analytics dashboard in a sandbox. Now, the dashboard needs to be migrated into production.
To complete the migration, what are the consultant’s three options? (Choose three.)

Ant Migration Tool

Change sets

Analytics External Data API

Analytics REST API

Analytics dashboard connector

Q49. Why is it important to prepare the data in a CSV file before you bring it into Analytics?

To remove column headers

To make sure the content is interesting

To add currency symbols to numeric fields

To make sure Analytics can set the field type correctly

Q50. The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an “activitylD” dimension and a “userlD” dimension Dataset B:
contains a list of users with a “userlD” dimension
The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?

Use the dataflow transformation “delete” and set “userlD” as the deletion ID.

Use a combination of dataflow transformations: “augment” and “filter.”

Use an external ETL tool to extract both datasets and delete records.
D, Use the recipe operation “delete” and set “userlD” as the deletion ID.

Q51. What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics?

Change a field’s name

Change a field’s format

Change a field’s type

All of the above

Q52. 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

Reorganize the dashboard widgets.

Distribute steps among separate pages.

Use SAQL code to join datasets at runtime.

Replace separate step filters with a global filter.

Move calculations to a dataflow.

Q53. Einstein Discovery is a tool that:

Is like having a personal data scientist on staff

Replaces your team of BI experts and data analysts

Helps you hire the best data scientist for your business

Understands your business better than you do

Q54. 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?

It should always be 0 or the model should not be used.

It shows the difference between the predicted outcome and the observed outcome.

It displays the difference between the analyzed data and the data not reviewed.

It only appears for outcomes that do not have an explanation.

Q55. What are two main steps for creating a dataset?

Run and monitor

Plan and map

Extract and prepare

Build and explore

Q56. Can you share dashboards with others in your org?

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.

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

No, you can’t share dashboards.

Click on the “Share” icon on the dataset.

Q57. Concurrent queries per user?

Q58. Which set of statements generates monthly amount on a cumulative basis annually?

result = load “opportunity1”;
result = group result by (‘CloseDate_Year’,’CloseDate_Month’);
result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([..0] partition by ‘CloseDate_Year’ order by (‘CloseDate_Year’,’CloseDate_Month’)) as ‘Cumulative Closed Amount’;

result = load “opportunity1”;
result = group result by (‘CloseDate_Year’,’CloseDate_Month’);
result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([..] partition by ‘CloseDate_Year’ order by (‘CloseDate_Year’,’CloseDate_Month’)) as ‘Cumulative Closed Amount’;

result = load “opportunity1”;
result = group result by (‘CloseDate_Year’,’CloseDate_Month’);
result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([..0] partition by all order by (‘CloseDate_Year’,’CloseDate_Month’)) as ‘Cumulative Closed Amount’;

result = load “opportunity1”;
result = group result by (‘CloseDate_Year ~ ~ ~ CloseDate_Month’);
result = foreach result generate ‘CloseDate_Year’,’CloseDate_Month’, sum(sum(Amount)) over ([..0] partition by ‘CloseDate_Year’ order by (‘CloseDate_Year’,’CloseDate_Month’)) as ‘Cumulative Closed Amount’;

Q59. What are Einstein Analytics prebuilt permission sets? Select 2:

Einstein Analytics Platform Admin (Missed)

Einstein Analytics Platform User (Missed)

Einstein Analytics

Einstein Analytics Superadmin

Q60. Philip adds a recently created Seed Bank Orders dataset to an Einstein Analytics app for which the Mosaic Seed Bank project team has the Viewer app role. How much data in the Seed Bank Orders dataset can a project team member see?

None of the data

Only rows designated by the Salesforce administrator

All rows and fields in the datasets

Only rows designated by the App Manager

Q61. Yasmine told Danielle she’s interested in using the artificial intelligence provided by Einstein Discovery to enhance analysis Mosaic probably wouldn’t have considered through their own means. How can Danielle use Einstein Analytics to load data into Einstein Discovery?

It’s not possible. Danielle will need to log into Einstein Discovery and import the data from there.

Danielle needs a permission set containing the Download Analytics Data permission, then she can use the Export node to load data into Einstein Discovery.

Danielle needs a permission set containing the Upload External Data to Analytics permission, then she can log into Einstein Discovery and import the data from there.

Data loaded into Einstein Analytics as datasets can then be used in Einstein Discovery without a separate load process.

Q62. Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?

Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.

Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.

Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.

Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.

Q63. Universal Containers (UC) is a multinational company that utilizes Salesforce and has a variety of internal systems. UC uses Einstein Analytics for their data analysis platform and they want to automate their weekly manual process to create a dataset from their on-premise data warehouse. Which solution should a consultant recommend to meet this requirement?

Utilize a Salesforce weekly export feature

Utilize Analytics Connector.

Utilize middleware with Analytics External Data API

Utilize a dataflow

Q64. About what does the configuration wizard ask you questions about how you measure?

Case duration

Customer geography

Customer satisfaction

Case resolution

All of the above

Q65. 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?

This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.

Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.

Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.

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.

Q66. 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?

Augment

Dataflow

Clone

Data Sync (Replication)