Get 100% Authentic Salesforce ANC-301 Dumps with Correct Answers [Q59-Q80]

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Get 100% Authentic Salesforce ANC-301 Dumps with Correct Answers

New Training Course ANC-301 Tutorial Preparation Guide

Salesforce ANC-301 certification exam covers a variety of topics, including data modeling, data preparation, data visualization, and data analysis. It also covers the basics of Tableau CRM architecture, security, and integration with other Salesforce products. ANC-301 exam is designed to test the candidate’s ability to design and implement solutions using Tableau CRM, as well as their ability to troubleshoot and optimize Tableau CRM solutions.

To prepare for the Salesforce ANC-301 certification exam, candidates can take advantage of various resources such as online training courses, study guides, and practice exams. Salesforce provides a comprehensive training program for Tableau CRM that covers all the topics included in the exam. Candidates can also find study materials and practice exams from third-party providers to help them prepare for the exam.

NO.59 What kind of insight is “What Is The Difference”?

Descriptive

Diagnostic

Predictive

Prescriptive

Selective

NO.60 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 hierarch?

digest transformation

flatten transformation

delta transformation

sfdcDigest transformation

NO.61 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?

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

Aggregate to summarize related data to account level.

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

NO.62 What can you do in a dataset recipe?

Extract external data into Analytics

Build a dashboard

Combine data from different datasets

Make a data chili

NO.63 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

NO.64 In the Insights list, insights are ranked in what order?

Time

Geospatial

Statistical significance

Alphabetical

There is no order

NO.65 How can you restrict access to Analytics data at the row level?

Manually add a flag to each row to prevent access.

Use a security predicate to filter which rows are returned.

Use subtle thought control.

Remove restricted rows from the JSON file.

NO.66 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.

NO.67 A consultant is tasked with creating one query that shows how many opportunities and cases there are per account.
Cases and opportunities are found in two different datasets with a reference to the related Account via the AccoundId.
What options do the consultant have in Analytics Studio to create the query?

A fill statement

A cogrouop or union statement

A union statement

A cogroup statement

NO.68 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.

NO.69 A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers

Determine if the timeseries required parameter, prediction interval, should be 80 or 95.

Investigate which prediction model is best for the data available.

Validate that there is enough data in the dataset to make a good prediction.

Include the fill SAQL statement to fill any missing dates.

NO.70 A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers

Which fonts to use for headers and body text

Which charts to use to best support the defined goal

How many charts should be allowed on a single dashboard

Which colors to use and how to use them

NO.71 The CRM Analytics consultant at Cloud Kicks is asked to make sure the data on the CRM Analytics dashboard be as real-time as possible.
It was agreed to set the sync refresh time to 5 minutes for one of the local connections. The org has a CRM Analytics Plus license but users are noticing that the earliest available time is 1 hour. The minutes option is not visible to the user.
What is causing the issue?

The consultant does not have the Edit CRM Analytics Dataflows permission assigned.

Setting up the schedule to 5 minutes feature is not available in sandbox orgs.

The earliest available time is 1 hour for CRM Analytics Plus license.

NO.72 A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic).
What are two appropriate actions to take?
Choose 2 answers

Remove the outliers as suggested by Einstein and deploy the model.

Remove the outliers as suggested by Einstein, and verify using model metrics and story insights if the quality improved.

Discuss with the client if values below 0 and above 2,489 are so uncommon that they should perhaps be left out of the story.

Manually remove the sales bellow 0 (negative sales must be a data issue), but keep the large value (the more data, the better the model will be).

NO.73 A list widget is added to a dashboard with existing charts and tables. What must be true for the list widget to facet the dashboard charts and tables using widget properties?

The list, chart, and table steps must share a common name.

The list, chart, and table steps must share common dimensions from different datasets.

The list, chart, and table steps must share the same dataset.

Chart and table steps must have their own list widgets.

NO.74 Which three statements are true regarding sharing inheritance? Choose 3 answers

If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the “View All Data” permission, sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.

Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use other objects, such as Idea or Site, you must use security predicates for those objects.

A dataset using sharing must also have a security predicate defined.

Sharing inheritance supports a foreign key for enforcing security.

When sharing inheritance is enabled, security predicates are ignored.

NO.75 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.

Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue’ Choose 2 answers

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

Use selection binding in the filters section of Che step “Step_pie_2.”

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

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

NO.76 Max Analytics API calls per user per hour

50,000

10,000

5,000

100,000

NO.77 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.

Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue’ Choose 2 answers