What kind of org should you use for checking challenges when you do Trailhead modules about Analytics?

A Developer Edition org, because it's a free, safe environment where you can try things out

An enterprise org, because that type of org is typically used by large companies

A trial org, because you don't need to save anything

A Developer Edition org, because it's a free, safe environment where you can try things out

A higher education org, because analytics requires advanced math

What do you have to assign to users before they can access Analytics?

Analytics permission set license (PSL)

Permission set with at least one Analytics user permission

Upper and lower limits on rows in discovery.

1000 row minimum, 15,000,000 max

3000 row minimum, 20,000,000 max

500 row minimum, 25,000,000 max

Salesforce Analytics is...

An application built on top of Salesforce

A tool for analyzing surf reports and forecasts

A CRM alternative to Salesforce

An online repository of infographics

What permissions are necessary for someone to edit the XMD?

Upload External Data to Analytics

Manage Analytics Templated Apps

The Einstein Analytics team at a company created a clataset based on the Opportunity__c custom object. The VP of Sales reports seeing the message 'No results found' when opening the dataset to explore it. Other users below the VP in the role hierarchy can see rows on the same dataset. Which two problems might be causing this issue?

The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows

The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object

The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object

The Security Predicates set up at the dataset level are preventing the VP from seeing data

The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows

The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object

In Einstein Discovery:

'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.

'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform 'what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses: - waterfall charts for predictions - bar charts for suggested improvements

'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.

'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.

'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.

'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform 'what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses: - waterfall charts for predictions - bar charts for suggested improvements

'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.

An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object. Which two processes can achieve this?

Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset

Extract data from the case and account objects using 'sfdcDigest' transformation, y/ Q use 'augment' transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

Extract data from the case and account objects using 'sfdcDigest' transformation, Q use 'append' transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset

Extract data from the case and account objects using 'sfdcDigest' transformation, y/ Q use 'augment' transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

Extract data from the case and account objects using 'dataloader', create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset

Can you share data from a widget?

Select 'Share' icon, click on 'Download', and select 'Download in .jpg, .XLS, or CSV' format.

No, you can't share data from a widget.

Select the step of the widget and share data.

Select 'Share' icon, click on 'Download', and select 'Download in .jpg, .XLS, or CSV' format.

Only with the proper Einstein Analytics Platform license.

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?

Use the Share and Export feature to help the customer determine if the findings make logical sense

Show the customer how to export and review the R-Code model validation results

Check the p-values and standard deviation

Use the Share and Export feature to help the customer determine if the findings make logical sense

Consult with a Data Scientist to validate the findings

How many stories can you create in Analytics Plus?

1,000, but more can be purchased

In what order does Einstein Discovery present the insights that it uncovers?

Insights that explain the most variation in the outcome variable, in descending order

Alphabetical, in ascending order

Alphabetical, in descending order

Insights that explain the most variation in the outcome variable, in ascending order

Insights that explain the most variation in the outcome variable, in descending order

Trending data limits: Maximum number of trended datasets per user and rows per snapshot:

5 per user, 100,000 per snapshot

5 per user, 200,000 per snapshot

10 per user, 100,000 per snapshot

10 per user, 200,000 per snapshot

5 per user, 100,000 per snapshot

How do you analyze data from a CSV file using Einstein Discovery?

Import the CSV file into an Einstein Analytics dataset, then create a story.

Import the CSV file into Einstein Discovery.

Import the CSV file into the most similar Salesforce object, then run reports on that object.

You can't import data from a CSV file

Import the CSV file into an Einstein Analytics dataset, then create a story.

What is a keyword in SAQL? And what case must it be in?

A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.

What are the 3 basic actions within a query in Analytics? Choose 3:

Filter to narrow down your results.

Count rows by measure you want to visualize.

Filter to narrow down your results.

Display the results graphically

You are asked to update and maintain your company's Einstein Analytics dashboards.A request comes in for one of the dashboards that contains steps from different datasets. The request is to make it possible for a table from one dataset to be filtered by the results of a chart from another dataset. Your solution is to create a resultsbinding.Which three steps should you implement to create the binding?

Look up the API name of the filtering field

Find source and target step names

Configure the results binding on the target step in the dashboard JSON.

Look up the API name of the filtering field

Look up the API name of the source field

Find source and target step names

Configure the results binding on the target step in the dashboard JSON.

Permissions of which 2 internal users are used by Analytics to gain access to Salesforce data?

Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).

When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.

Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.

Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).

When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.

Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.

What is the order of filter, limit, order and offset functions in SAQL?

Filter and order can be interchanged. Offset must be after filter/order and limit must come after offset.

Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test 5

Spam

Selling illegal goods, money scams etc.

Hate Speech

Serious attack on a group.

Harassment and bullying

Harassing an individual (including doxing)

Harmful activities

Threatening or glorifying violence or serious harm, including self-harm

Adult content (Consensual)

Nudity/Sexual content

Sexual exploitation and abuse (child safety)

Sexually explicit or suggestive imagery or writing involving minors

Sexual exploitation and abuse (adults and animals)

Sexually explicit or suggestive imagery or writing involving non-consenting adults or non-humans

Plagiarism

Reusing content without attribution (link and blockquotes)

Poorly written

Not in English or has very bad formatting, grammar, and spelling

Inappropriate credential

Author's credential is offensive, spam, or impersonation

Other

Ex. Illegal content, incomplete question...

Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Test 5

Question

Drag and Drop

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Salesforce Certified Tableau CRM and Einstein Discovery Consultant Practice Tests

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