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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Einstein Discovery	22%	- Deployment & Usage 1. Monitor and maintain model performance 2. Embed predictions in dashboards and Lightning pages 3. Interpret results and recommendations - Model Building & Configuration 1. Select prediction type: numeric, binary, multi-class 2. Train, evaluate, and refine models 3. Prepare and assess data for modeling
Topic 2: Dashboard Design & Development	25%	- Design Principles 1. Design for mobile and Lightning compatibility 2. Apply best practices for usability and performance - Build & Configure Dashboards 1. Use SAQL for advanced queries 2. Create lenses, steps, and visualizations 3. Implement bindings, filters, and interactions
Topic 3: Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Use Dashboard Inspector and Publisher 2. Monitor and optimize query performance 3. Manage versioning and deployment
Topic 4: Security & Access	12%	- Sharing & Permissions 1. Implement row-level security and inheritance 2. Configure app, dataset, and field-level security 3. Manage user and group access
Topic 5: Data Layer	23%	- Data Management & Optimization 1. Resolve data sync and refresh issues 2. Implement data modeling and relationships 3. Optimize dataset performance - Data Sources & Integration 1. Define datasets and map Salesforce objects 2. Use Dataflows and Recipes for transformation 3. Extract, load, and prepare data using Data Manager

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q115-Q120):

NEW QUESTION # 115
A CRM Analytics consultant has been asked to refactor a dashboard so that it loads quicker. After some analysis, the consultant found that most of the dashboard queries run in less than 5 seconds; however, the Opportunities Table takes more time to load when scrolled down from its initial view.
How should the consultant improve the performance of this dashboard?

A. Create a Visualforce page and display a list view of the Opportunities on this new page.
B. Create a second dashboard and move the table to this new dashboard.
C. Create a second page on the dashboard and move the table to this new page.

Answer: C

NEW QUESTION # 116
Cloud Kicks has a dashboard that displays accounts and opportunities data in a table that contains actions to open the records in Salesforce. Since the company has allowed several accounts to be created with the same names, when users try to perform actions, they are prompted with only a record ID to select, leaving the users confused and unable to act.
How should the CRM Analytics consultant solve this problem?

A. Ask the admin to start applying duplicate rules based on the account's Name field.
B. Insert more fields in the dataset action "Display Fields" so the users know which account they are acting on.
C. Discuss with the stakeholders If the action Is really necessary for the table.

Answer: B

NEW QUESTION # 117
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?

A. Cluster in the recipes and select the metrics used for clusterization.
B. Bucket for each measure and then use a global bucket to segment accounts.
C. Aggregate to summarize related data to account level.

Answer: C

NEW QUESTION # 118
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. Column profiling Is not applicable on a dimension column in a recipe.
B. Sync operation has not run properly with the new dimension column in the recipe.
C. The sample does not include changes to the connected object data within the last 24 hours.

Answer: C

NEW QUESTION # 119
The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?

A. The number of concurrent recipe run limits that are associated with the org.
B. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.
C. The total duration of the recipe runtimes can exceed the limit of 1 hour.

Answer: C

Explanation:
In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would beimpossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.

NEW QUESTION # 120
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