Analytics-Con-201덤프 - Analytics-Con-201시험대비덤프최신버전

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Explain the model building process 2. Identify the use cases for Einstein Discovery 3. Interpret model results - Implement Einstein Discovery 1. Configure and deploy Einstein Discovery models 2. Integrate predictions into CRM Analytics dashboards
Topic 2: Data Layer	25%	- Implement and configure the right data transformations 1. Use Data Prep actions 2. Identify and resolve data sync issues - Identify the right data sources and data flows for CRM Analytics 1. Describe how Salesforce objects map to CRM Analytics 2. Describe use cases for Data Prep (Dataflows and Recipes) 3. Define datasets
Topic 3: Analytics Dashboard Configuration	25%	- Configure dashboards 1. Configure bindings 2. Apply query filters 3. Set up dynamic dashboards
Topic 4: Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Use Lenses and Dashboards 2. Apply design best practices 3. Describe the use cases for Visualforce and Lightning components
Topic 5: Security	10%	- Determine security and sharing settings 1. Describe how Salesforce security is applied in CRM Analytics 2. Implement row-level security

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최신 Salesforce Consultant Analytics-Con-201 무료샘플문제 (Q103-Q108):

질문 # 103
A CRM Analytics consultant is performing column profiling on dimension column in a recipe. Newly-added rows are not being considered in the Results tab of theprofile even though a sync wasrun for that specific object.
What is causing the issue?

A. The sample does not include changes to the connected object data within the last 24 hours.
B. Sync operation has not run properly with the new dimension column in the recipe.
C. Column profiling Is not applicable on a dimension column in a recipe.

정답：A

질문 # 104
After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?

A. The dataset contains multiple dominant values.
B. The outcome variable may be causing data leakage.
C. The model contains too many outlier values.

정답：B

질문 # 105
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?

A. Use security predicates in CRM Analytics.
B. Increase the sharing descriptor limit in the analytics settings.
C. Contact Salesforce Support to increase the sharing descriptor limit.

정답：A

설명：
When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine- tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.
Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.
Reference:Security predicatesand their use to optimize data visibility and sharing within CRM Analytics are explained in theCRM Analyticsdocumentation related to security and performance.

질문 # 106
What is the purpose of the CRM Analytics Dashboard Inspector?

A. To see the final query for each widget along with the results.
B. To view the total time required to run all queries.
C. To automatically remove bottlenecks to make queries run faster.

정답：A

설명：
The CRM Analytics Dashboard Inspector is a powerful tool used to troubleshoot and optimize dashboards. Its primary function is to display the underlying SAQL (Salesforce Analytics Query Language) query executed for each widget. It helps users see the final query that is run and the corresponding results. This feature allows CRM Analytics consultants and developers to diagnose issues, optimize performance, and understand how data is being processed in the dashboard.
While the Inspector helps view execution times and identify bottlenecks, it does not automatically resolve performance issues (which is why option B is incorrect). It simply provides visibility into query performance and execution details, allowing the user to make manual optimizations.
Reference: Detailed information on theDashboard Inspectortool can be found under the "Building Lenses, Dashboards, and Apps in CRM Analytics" module and theEinstein Discoverytraining content within Salesforce documentation.

질문 # 107
ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?

A. A Identify additional data that may have a stronger relationship with the outcome variable.
B. Use the appropriate algorithm and update the model.
C. Edit the model accuracy settings and rerun it to evaluate the correlation.

정답：A

질문 # 108
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