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As the old saying goes, learning never stops — and lifelong learning has become genuinely popular around the world. If the Salesforce Tableau CRM Einstein Discovery Consultant credential is your next lesson, ExamPrepAway prepares you for the Tableau-CRM-Einstein-Discovery-Consultant exam with 244 practice questions built around the official objectives.
Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Einstein Discovery | 12% | - Adjusting data parameters and adding/removing data or columns to improve models - Analyzing model results and proposing data improvements - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Monitoring and interpreting Model Cards to improve or maintain model performance |
| Security | 16% | - App sharing based on user and group requirements - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles |
| Administration | 16% | - Managing CRM Analytics environment and configurations - SAQL query language for dashboard JSON and lens queries - Embedding analytics in Salesforce - Understanding recipes (Data Prep) for visual ETL interface |
| Data Layer | 24% | - Data transformation and loading into Einstein datasets - Troubleshooting failed dataflow jobs - Incremental sync configuration - Dataflow configuration for multi-object scenarios - Data extraction from sources - Understanding denormalized sequential datasets |
| Analytics Dashboard Design | 13% | - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Scoping, validating, and prioritizing dashboard design requirements - Creating dashboards following CRM Analytics best practices and UX design principles |
| Analytics Dashboard Implementation | 19% | - Configuring dashboards using accurate query types and widget-level parameters - Using advanced functionality such as windowing and time series analysis in compare tables - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Making dashboards actionable and accessible in Lightning pages - Monitoring and optimizing query performance using Dashboard Inspector - Developing selection/result interactions with different query types |
Tableau-CRM-Einstein-Discovery-Consultant Exam Details and Study Questions
The Tableau-CRM-Einstein-Discovery-Consultant exam contains 60 questions with 105 minutes minutes to complete them. A clear knowledge structure is what makes that volume manageable — you answer faster when every topic has its place.
Passing the Tableau-CRM-Einstein-Discovery-Consultant exam requires 65%, and registration costs USD 200. Structured preparation is how you spend study time once and exam fees once.
Immediately. The system emails you at once with the download link for the Salesforce Tableau CRM Einstein Discovery Consultant materials — the whole delivery process takes about a minute. Open the email, download the Tableau-CRM-Einstein-Discovery-Consultant exam product to your computer, install it, and you are studying within minutes of deciding to. If the message does not appear, check your spam folder; after 2 hours without delivery, contact support. Install on all of your own devices without limit.
No formal prerequisites, but recommended to have experience with CRM Analytics implementation
The Tableau-CRM-Einstein-Discovery-Consultant exam is the official assessment behind the Salesforce Tableau CRM Einstein Discovery Consultant certification from Salesforce. Lifelong learning has become the norm precisely because industries keep moving — and this credential is a concrete way to keep pace. Many candidates only sit it seriously on a second attempt; structured preparation is how you make the first one count.
The official outline divides the Tableau-CRM-Einstein-Discovery-Consultant exam into weighted domains, including:
- Data Layer (24%)
- Analytics Dashboard Implementation (19%)
- Einstein Discovery (12%)
The Salesforce Tableau CRM Einstein Discovery Consultant bank at ExamPrepAway mirrors this structure, so the knowledge map you build while practicing matches the one the exam uses.
Structure is the design principle. The Salesforce Tableau CRM Einstein Discovery Consultant materials first build a clear knowledge structure of the Tableau-CRM-Einstein-Discovery-Consultant exam, so difficult points become understandable in sequence rather than intimidating in isolation. Our experts have prioritized the most important knowledge for busy learners, and every answer is expert-verified — so your limited hours go exactly where the objectives point.
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
To see predictive insights, what option do you select in the Story toolbar?
- A. Predictions & Improvements
- B. How Can I Improve It
- C. Why It Happened
- D. What Happened
- E. What Changed Over Time
Correct Answer: A 🗳️
Number of queries per user per day
- A. 50,000
- B. 20,000
- C. 10,000
- D. 1,000
Correct Answer: C 🗳️
Creating an Einstein Discovery story involves:
- A. Copying text from company reports and pasting into Einstein Discovery
- B. Uploading a Microsoft PowerPoint presentation
- C. Selecting a Dataset in Einstein Analytics, then clicking Create Story
- D. Entering notes about the data
Correct Answer: C 🗳️
You can configure access to data at all of the following levels, except:
- A. Objects
- B. Page Layouts
- C. Organization
- D. Records
Correct Answer: B 🗳️
A company created a dataset called myExternalDataset. It contains a dimension, called UserRegion, that is populated by the standard User object's picklist: Region.
The company has security requirements for this dataset:
1. Only a subset of users should be able to access the dataset.
2. Users who can access the dataset should see only data that belongs to their region.
In which two ways can an Einstein Analytics consultant help them implement these requirements? Choose 2 answers
- A. Create a sharing rule in Salesforce based on the Region field in the user object and set the dataset to inherit sharing from Salesforce.
- B. Use a security predicate in the dataset so users can see only rows belonging to their respective regions.
- C. Save the dataset under "My Private App" so only a subset of selected users can access the dataset.
- D. Save the dataset under a new application and give "viewer" access to a public group containing the list of users allowed to see the dataset.
Correct Answer: B,D 🗳️
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