Updated and Error-free ValidExam Salesforce Analytics-Con-201 Exam Questions

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q30-Q35):

NEW QUESTION # 30
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

A. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
B. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.
C. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".

Answer: C

NEW QUESTION # 31
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?

A. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.
B. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
C. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.

Answer: C

Explanation:
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
* Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger.
This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
* Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
* Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.

NEW QUESTION # 32
Universal Containers asks a CRM Analytics consultant to review the performance of its local data sync.
After removing unused objects and fields from connected data, what else should the consultant do to improve performance of the data sync?

A. Evaluate connection mode for each connected object.
B. Enable fast sync in analytics settings.
C. Contact Salesforce Support to increase sync speed.

Answer: A

Explanation:
To improve the performance of local data sync in Universal Containers, evaluating the connection mode for each connected object is a practical approach. Here's the rationale:
* Optimization of Resources: Different connection modes (e.g., Full Sync, Incremental Sync) use different amounts of resources. Choosing the right mode for each object based on how frequently its data changes can optimize the sync process and reduce load times.
* Efficient Data Handling: By tailoring the connection mode to the needs of specific data objects, the overall efficiency of the data sync process is improved, leading to faster refresh rates and more timely data availability.
* Cost and Performance Balance: Evaluating and selecting the appropriate connection mode can also help balance performance needs with cost constraints, as some modes may consume more compute resources than others.

NEW QUESTION # 33
A CRM Analytics administrator is working on deploying a dashboard and a dataset from a developer sandbox to a full sandbox. They have deployed the dataset via change set and manually copy-pasted the dashboard JSON into the target org. However, they notice that the conditional formatting and the widget-specific number formats have been lost in the target environment.
What is causing this issue?

A. Analytics Dashboard XMD was NOT included as part of the deployment package.
B. Analytics Dataset XMD was NOT included as part of the deployment package,
C. The recipe that generated the dataset also needs to be included as part of the package.

Answer: B

Explanation:
When deploying a dataset and dashboard between environments in CRM Analytics, it's essential to include theExtended Metadata (XMD)file, which controls aspects such as conditional formatting and number formatting. In this case, the administrator manually copied the dashboard JSON but did not deploy the Analytics Dataset XMD, which leads to the loss of conditional formatting and widget-specific number formats in the target environment. Including the XMD ensures that all formatting and metadata are transferred correctly.
Reference: Detailed information on XMD files and their role in formatting is covered in theCRM Analyticsdeployment and customization documentation.

NEW QUESTION # 34
A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.
How can the developers add new fields while keeping the dataset refreshed?

A. Clone the existing recipe to add fields and roll back the original recipe to the last working version.
B. Refresh the dataset after working hours to avoid the edited version from failing.
C. A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.

Answer: A

Explanation:
When faced with the need to continue refreshing data while developing new features in a recipe, the best practice is:
* Clone the Existing Recipe: By cloning the recipe, developers can experiment with adding new fields and transformations without affecting the production data flow. This allows for testing and development in a sandbox-like environment.
* Roll Back to a Stable Version: Rolling back the original recipe to the last stable version ensures that the production dashboards continue to receive refreshed data, maintaining business operations without disruption.
This approach not only ensures data continuity but also provides a safe environment to address any issues that may arise from new developments.

NEW QUESTION # 35
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