Quiz Salesforce - Analytics-Con-201 Authoritative Practice Guide

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q61-Q66):

NEW QUESTION # 61
The CRM Analytics consultant at Universal Containers (UC) has set up data sync for the Salesforce Opportunity object with the Amount currency field added. This is being used in multiple datasets and dashboards, as UC is a multi-currency organization.
The currency used in Salesforce records is set up in GBP but the data on the dashboard is converting to USD.
Conversion logic is not set up on any of the recipes.
Why is the currency converting?

A. The ANS local currency is set up as USD.
B. The Integration User currency is set up as USD.
C. The org corporate currency is set up as USD.

Answer: C

Explanation:
In Salesforce CRM Analytics, when dealing with multi-currency environments, the system relies on the organization's corporate currency setting for reporting, unless explicitly overridden. In this case, even though the Opportunity data is stored in GBP in Salesforce, the dashboards are showing USD because the corporate currency for the org is set to USD. This behavior is expected unless currency conversion logic is implemented in the datasets or recipes.
The corporate currency serves as the default for currency fields in datasets and dashboards unless configured otherwise. This can be confirmed under the "Manage Currencies" settings in Salesforce.

NEW QUESTION # 62
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 model contains too many outlier values.
B. The dataset contains multiple dominant values.
C. The outcome variable may be causing data leakage.

Answer: C

NEW QUESTION # 63
A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A. Fill in the missing data with an average of all incomes.
B. Drop the field as it will be difficult to get future respondents.
C. Apply the predict missing values transformation in recipe nodes.

Answer: C

Explanation:
Reference:CRM Analytics Recipes and Predict Missing Values

NEW QUESTION # 64
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

A. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
B. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
C. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols

Answer: C

Explanation:
To create a weekly forecast per customer, anSAQL (Salesforce Analytics Query Language)query can be used.
The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based onAccount Nameto ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.
Reference: The use ofSAQL and timeseries functionsis covered in theWave Analytics ExplorerandAdvanced SAQLmodules, where partitioning and date-based aggregations are explained in detail.

NEW QUESTION # 65
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.

A. The users have access to the dashboard but not the dataset.
B. The dashboard has been created for internal use and theusers have a view only license.
C. The permission set for the users is missing the download data permission.

Answer: C

NEW QUESTION # 66
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