ANC-301 Exam Questions Dumps, Selling Salesforce Products
ANC-301 Cert Guide PDF 100% Cover Real Exam Questions
Salesforce ANC-301 exam is a crucial certification exam for individuals looking to acquire modern Tableau CRM implementation and management skills. This exam prepares learners on the effective implementation and management of Tableau CRM solutions into an organization's operations. Ideally, the Salesforce ANC-301 exam tests individuals on a range of topics, including Tableau CRM data management, Tableau CRM automation, Tableau CRM security and access, and Tableau CRM analytics, among other critical areas.
The Salesforce ANC-301 certification exam is designed for professionals who want to demonstrate their expertise in implementing and managing Tableau CRM in an organization. This certification is a prerequisite for the Tableau CRM Consultant and Tableau CRM Developer certifications. Candidates who pass this exam are expected to have a thorough understanding of Tableau CRM and its implementation. To prepare for the exam, candidates can take the Tableau CRM Implementation Essentials course and access Trailhead.
NEW QUESTION # 116
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?
- A. 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
- B. 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
- C. 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
- D. 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
Answer: A,B
NEW QUESTION # 117
What happens if you first disable Analytics, and then you re-enable Analytics later? Select 2
- A. User permissions are not removed from each defined permission set if Analytics is disabled.
- B. You must define the permission sets again if Analytics is re-enabled. (Missed)
- C. You must not define the permission sets again if Analytics is re-enabled.
- D. User permissions are removed from each defined permission set if Analytics is disabled. (Missed)
Answer: B,D
Explanation:
Reference:
https://blog.bessereau.eu/assets/pdfs/bi_admin_guide_setup.pdf
NEW QUESTION # 118
What is a keyword in SAQL? And what case must it be in?
- A. A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.
Answer: A
NEW QUESTION # 119
What is the order of filter, limit, order and offset functions in SAQL?
- A. Filter and order can be interchanged. Offset must be after filter/order and limit must come after offset.
Answer: A
NEW QUESTION # 120
A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarchy'
- A. digest transformation
- B. flatten transformation
- C. delta transformation
- D. sfdcDigest transformation
Answer: B
NEW QUESTION # 121
What are two benefits of designing using the "Progressive Disclosure" principle? Choose 2 answers
- A. improved ease of use for end users
- B. Discounted EA licenses when growth is achieved
- C. Better dashboard performance
- D. Automatic conditional formatting
Answer: A,C
Explanation:
Reference:
https://developer.salesforce.com/blogs/developer-relations/2017/04/lightning-components-performance-best-practices.html
NEW QUESTION # 122
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.
A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements'
- A. template-to-app-rules.json
- B. ui.json
- C. template-info.json
- D. aster- info.j son
Answer: C
NEW QUESTION # 123
Einstein Discovery is a tool that:
- A. Is like having a personal data scientist on staff
- B. Understands your business better than you do
- C. Replaces your team of BI experts and data analysts
- D. Helps you hire the best data scientist for your business
Answer: A
NEW QUESTION # 124
Which of these standard deviations is for a curve that has values that are the most spread out away from the average?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION # 125
Max story creations per org per month
- A. 1000 (can purchase more)
- B. 500 (can purchase more)
- C. 200 (can purchase more)
- D. 0
Answer: B
NEW QUESTION # 126
What does Einstein Analytics check when a user submits a query against a dataset?
- A. Whether the user has access to the app
- B. If the user has access to the dataset
- C. Which rows the user has access to
- D. Which fields the user has access to
Answer: C
NEW QUESTION # 127
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 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".
- 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' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".
- C. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
- D. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
Answer: A
NEW QUESTION # 128
Trending data limits: Maximum number of trended datasets per user and rows per snapshot:
- A. 10 per user, 200,000 per snapshot
- B. 5 per user, 200,000 per snapshot
- C. 5 per user, 100,000 per snapshot
- D. 10 per user, 100,000 per snapshot
Answer: C
NEW QUESTION # 129
Universal Containers has a dashboard for Sales Managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. An Einstein Consultant created a static step to display three values: ClosedDate_month, ClosedDate_quarter, and ClosedDate_year.
What should the consultant do next?
- A. Use selection binding to update the measure in the chart.
- B. Use nested binding to update the grouping in the chart.
- C. Use result binding to update the measure in the chart.
- D. Use selection binding to update the grouping in the chart.
Answer: D
NEW QUESTION # 130
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?
- A. Only rows designated by the Salesforce administrator
- B. None of the data
- C. All rows and fields in the datasets
- D. Only rows designated by the App Manager
Answer: C
NEW QUESTION # 131
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 results binding.
Which three steps should you implement to create the binding?
- A. Look up the API name of the source field
- B. Look up the API name of the filtering field
- C. Find source and target step names
- D. Configure the results binding on the target step in the dashboard JSON.
Answer: B,C,D
NEW QUESTION # 132
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 SAQL query leveraging the "fill" statement with a "partition" parameter.
- B. Use a "Compare Table" and add a column leveraging the "Running Total" function.
- C. Use a "Compare Table" and use the "Show summary" option.
- D. Use a SAQL query to create fake rows for any data that is missing data from the dataset.
Answer: A
NEW QUESTION # 133
Salesforce Analytics is...
- A. An online repository of infographics
- B. An application built on top of Salesforce
- C. A tool for analyzing surf reports and forecasts
- D. A CRM alternative to Salesforce
Answer: B
NEW QUESTION # 134
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 a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
- C. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
- D. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
Answer: B
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5
NEW QUESTION # 135
Which widget property allows a consultant to restrict the view to a domain bounded by the values entered'
- A. Add Filter
- B. Add Custom Domain
- C. Filter by Range
- D. Add Custom Range
Answer: B
NEW QUESTION # 136
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:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/wave_analytics_templates_intro/wave_analytics_templates_in_action
NEW QUESTION # 137
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. Analytics REST API
- C. Einstein Analytics Connector for Excel
- D. Microsoft Azure SQL Data Warehouse Connector
- E. Recipes
Answer: A,D,E
NEW QUESTION # 138
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. Add data as a lookup relationship (left side is the lowest grain)
- B. Join data similar to an SQL statement
- C. Add data based on the right-side grain
- D. Join data based on a many-to-many relationship
Answer: A
Explanation:
Reference:
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 # 139
Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?
- A. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
- B. An admin hasn't run a dataflow.
- C. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
- D. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
Answer: A
NEW QUESTION # 140
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The ANC-301 exam is a multiple-choice exam that consists of 60 questions that must be answered within 105 minutes. The exam is available in English and Japanese and can be taken either in-person or remotely. The passing score for this exam is 68%, and candidates who successfully pass the exam earn the Tableau CRM Implementation and Management Specialist certification.
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