Last ANC-201 practice test reviews Practice Test Salesforce dumps [Q114-Q133]

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Last ANC-201 practice test reviews: Practice Test Salesforce dumps

Try ANC-201 Free Now! Real Exam Question Answers Updated [Mar 30, 2023]


Salesforce ANC-201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Designing a Dashboard and Creating a Template
  • Building a Dashboard
Topic 2
  • Adding Filters to a Dashboard
  • Manage apps, lenses, dashboards, and datasets
Topic 3
  • Adding Charts, Tables, and KPIs to a Dashboard
  • Dashboard Building Overview
Topic 4
  • Overview of building and managing apps
  • Create a dashboard template
Topic 5
  • Creating
  • Updating Mobile Dashboard Layouts
  • Building an app
Topic 6
  • Managing Apps, Lenses, Dashboards, and Datasets
  • Modify a Dashboard for Mobile

 

NEW QUESTION 114
When Analytics runs a dataflow that accesses Salesforce objects, which user does it use?

  • A. The current user
  • B. The system administrator
  • C. The Integration User
  • D. The record owner

Answer: C

 

NEW QUESTION 115
An Einstein Consultant needs to add some data values to an existing dataflow: a text field, a number (via a case statement), and a date (via SAQL).
In order to achieve this, which compute option should be used?

  • A. computeField
  • B. computeValue
  • C. computeData
  • D. computeExpression

Answer: D

 

NEW QUESTION 116
What are two benefits of designing using the "Progressive Disclosure" principle? Choose 2 answers

  • A. Automatic conditional formatting
  • B. Discounted EA licenses when growth is achieved
  • C. Better dashboard performance
  • D. improved ease of use for end users

Answer: C,D

Explanation:
Reference:
https://developer.salesforce.com/blogs/developer-relations/2017/04/lightning-components-performance-best-practices.html

 

NEW QUESTION 117
When organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'

  • A. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
  • B. Utilize the latest templates for the most modern look and feel.
  • C. Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.
  • D. Implement strict security predicates to minimize the amount of information displayed to users.

Answer: A

 

NEW QUESTION 118
What are the two main parts of a lens/exploration?

  • A. Query
  • B. Visualization
  • C. Measure
  • D. Grouping
  • E. Dataset

Answer: B,D

 

NEW QUESTION 119
You can configure access to data at all of the following levels, except:

  • A. Organization
  • B. Records
  • C. Objects
  • D. Page Layouts

Answer: D

 

NEW QUESTION 120
How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?

  • A. 50 files Per dataset
  • B. 100 files per dataset
  • C. 500 files per dataset
  • D. 300 files per dataset

Answer: A

 

NEW QUESTION 121
Why would you use a merge key in a dataset recipe?

  • A. To schedule when a dataset recipe runs
  • B. To deal with duplicate records
  • C. To join related data from different sources
  • D. To find out what the merge icons represent in a dataset

Answer: C

 

NEW QUESTION 122
Which chart type is suitable for rendering five measures in a lens visualization?

  • A. Treemap chart
  • B. Stacked Bar chart
  • C. Metric Radar chart
  • D. Scatter chart

Answer: B

 

NEW QUESTION 123
An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
Which solution should the consultant implement to help improve data sync (replication) performance?

  • A. Scale down the number of datasets to help improve data sync (replication) performance.
  • B. Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
  • C. Modify dataflows to exclude unused fields and include a filter to extract relevant data.
  • D. Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.

Answer: B

 

NEW QUESTION 124
A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.
What is the maximum number of dataflow definitions available in this situation?

  • A. 0
  • B. 1
  • C. 2
  • D. 3

Answer: A

Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_limits.htm&type=5

 

NEW QUESTION 125
A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.
An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.
The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.
Given this information, how can an Einstein Consultant implement the above requirements?

  • A. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
  • B. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".
  • C. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".
  • D. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".

Answer: B

 

NEW QUESTION 126
Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.
What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?

  • A. 0
  • B. unlimited
  • C. 1
  • D. 2

Answer: C

 

NEW QUESTION 127
A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?

  • A. Load the data into Einstein Analytics
  • B. Analyze data columns and decide which, if any, to drop.
  • C. Produce a graph of the data to analyze.
  • D. Identify data types and define the appropriate data as numeric.

Answer: D

 

NEW QUESTION 128
Exhibit:

Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers

  • A. Germany performs lower than average but better when the product is Call Center.
  • B. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.
  • C. Germany sells more Call Center product and that helps them increase their win rate.
  • D. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.

Answer: C,D

 

NEW QUESTION 129
Upper and lower limits on rows in discovery.

  • A. 00 row minimum, 20,000,000 max
  • B. 500 row minimum, 25,000,000 max
  • C. 3000 row minimum, 20,000,000 max
  • D. 1000 row minimum, 15,000,000 max

Answer: A

 

NEW QUESTION 130
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?

  • A. The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows
  • B. The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object
  • C. The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object
  • D. The Security Predicates set up at the dataset level are preventing the VP from seeing data

Answer: A,C

 

NEW QUESTION 131
In a story investigating margin, large variations between product groups are dominating the story. Which action might an Einstein Consultant take to resolve this?

  • A. Add more data to the dataset.
  • B. Normalize the margin by product group.
  • C. Run separate stories for each region.
  • D. Eliminate extreme values in the dataset.

Answer: D

 

NEW QUESTION 132
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)

  • A. Option C
  • B. Option B
  • C. Option A
  • D. Option D

Answer: A

 

NEW QUESTION 133
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