Pass the Salesforce Salesforce Consultant CRM-Analytics-and-Einstein-Discovery-Consultant Questions and answers with CertsForce

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Viewing questions 21-30 out of questions
Questions # 21:

Exhibit.

Question # 21

Given that the queries are using different datasets, which change should a CRM Analytics consultant make to solve this issue?

Options:

A.

Use "Connect Data Sources" and create a connection to connect the two datasets.


B.

Use “Connect Data Sources" and create a connection to connect the two widgets.


C.

Use result binding/Interaction in the filters section of the query "Type 1”.


Expert Solution
Questions # 22:

A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and

quotes.

How should the CRM Analytics consultant accomplish this?

Options:

A.

Bucket for each measure and then use a global bucket to segment accounts.


B.

Aggregate to summarize related data to account level.


C.

Cluster in the recipes and select the metrics used for clusterization.


Expert Solution
Questions # 23:

Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to accelerate the company's sales process. To do so, CK needs to know the average time an opportunity

spends in each stage. The data can be found in the Opportunity History object, but the value is not pre-calculated in Salesforce, so a consultant recommends using a recipe to calculate it.

How should the consultant use a recipe to calculate the average time an opportunity spends in each stage?

Options:

A.

An aggregate transformation with offset parameter to calculate the duration


B.

Flatten transformation with offset expressions to calculate the duration


C.

Custom transformation with a multiple row formula to calculate the duration


Expert Solution
Questions # 24:

Universal Containers wants to create two dashboards and has two user groups. The 'Regional Performance’ dashboard should be accessible to sales reps and managers/executives to keep track of

how sales reps are performing in each region. Sales reps must only be able to see data pertaining to their respective region. The ‘National Performance’ dashboard is using the same data as the other

dashboard but should only be accessible to managers/executives to compare data across all regions.

In addition to row-level security to view only regional data, how should a consultant ensure that sales reps are unable to view the ‘National Performance’ dashboard?

Options:

A.

Create one dataset, two apps; store 'Regional Performance’ dashboard and dataset In one app; and provide access to both user groups to this app. Store ‘National Performance’ dashboard in another app and only provide access tomanagers/executives.


B.

Create two datasets, one app; store both 'Regional Performance’ dashboard, ‘National Performance’ dashboard, and dataset in the app; and provide access to both user groups to this app.


C.

Create one dataset, one app; store both ‘Regional Performance’ dashboard, ‘National Performance’ dashboard, and dataset in the app; and provide access to both user groups to this app. Use row-level security to restrict sales repsfrom seeing data in 'National Performance’ dashboard.


Expert Solution
Questions # 25:

Universal Containers intends to use a custom Salesforce big object in its org and visualize the data using CRM Analytics. As the number of rows to be synced is quite large, the CRM Analytics consultant is looking to set up an incremental sync with additional filters added as part of the data sync to improve performance.

What should the consultant keep in mind while implementing this?

Options:

A.

Incremental data syne Is NOT supported for big objects.


B.

Custom big objects are NOT supported by CRM Analytics.


C.

Only SOSL queries can be used as data syne filters.


Expert Solution
Questions # 26:

A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.

What should the consultant do?

Options:

A.

Use security predicates in CRM Analytics.


B.

Contact Salesforce Support to increase the sharing descriptor limit.


C.

Increase the sharing descriptor limit in the analytics settings.


Expert Solution
Questions # 27:

A CRM Analytics administrator is working on deploying a dataflow and a dataset (generated by this dataflow) to another org.

While creating a change set, they notice that the components are NOT visible to be included in the change set.

What is the reason for this?

Options:

A.

The administrator does NOT have system administrator permission to include the assets In the change set,


B.

Assets are kept in the Private App and are unavailable to include in the change set.


C.

The administrator does NOT have access to the assets on CRM Analytics.


Expert Solution
Questions # 28:

A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.

What is causing the dataflow/recipe to fail?

Options:

A.

Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.


B.

Dataflows/recipes with Augment nodes fail until sync has run for the first time.


C.

Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.


Expert Solution
Questions # 29:

A CRM Analytics consultant is adding direct data into an existing recipe. When trying to click on the input node, data preview is taking a long time to show any results.

How should the consultant resolve this?

Options:

A.

Update the Sample Size under Data Preview Sampling to 5,000 rows.


B.

Register the Salesforce object and use Filtered Rows under Data Preview Sampling.


C.

Use the Filtered Rows sampling mode under Data Preview Sampling to filter records.


Expert Solution
Questions # 30:

A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data wasuploaded 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?

Options:

A.

JSON metadata file was not uploaded along with the CSV data file.


B.

The field value added in the CSV file was contained within double quotes.


C.

Proper transformations need to be performed at the external source prior to External Data API callout.


Expert Solution
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