About Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Braindumps
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Layer | 24% | - Data transformation and loading into Einstein datasets - Data extraction from sources - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Troubleshooting failed dataflow jobs - Understanding denormalized sequential datasets |
| Analytics Dashboard Implementation | 19% | - Making dashboards actionable and accessible in Lightning pages - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Developing selection/result interactions with different query types - Using advanced functionality such as windowing and time series analysis in compare tables - Configuring dashboards using accurate query types and widget-level parameters - Monitoring and optimizing query performance using Dashboard Inspector |
| 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 |
| Einstein Discovery | 12% | - Adjusting data parameters and adding/removing data or columns to improve models - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Monitoring and interpreting Model Cards to improve or maintain model performance - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Analyzing model results and proposing data improvements |
| Analytics Dashboard Design | 13% | - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Creating dashboards following CRM Analytics best practices and UX design principles - Scoping, validating, and prioritizing dashboard design requirements |
| 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 |
Answers to the Most Common Questions About Salesforce Tableau CRM Einstein Discovery Consultant
The Tableau-CRM-Einstein-Discovery-Consultant exam is the official Salesforce exam for Salesforce Tableau CRM Einstein Discovery Consultant. Passing it earns you the Salesforce Consultant credential, which sits at the Consultant level. It is also connected to Salesforce Certified Tableau CRM and Einstein Discovery Consultant, so what you learn carries over if you plan to pursue those paths as well. Employers treat the certification as verified proof of skill, which is why structured preparation with ExamsTorrent's practice questions pays off.
The Tableau-CRM-Einstein-Discovery-Consultant exam contains 60 questions, and the time limit is 105 minutes. Translate that into a pacing plan before exam day: know roughly how long you can afford per item, flag anything that stalls you, and circle back at the end instead of burning minutes. Two or three full timed sessions in ExamsTorrent's test engine will teach you that rhythm far better than untimed reading ever will.
The passing score for the Tableau-CRM-Einstein-Discovery-Consultant exam is 65%, and the official registration fee is USD 200. Remember that a failed attempt means paying that fee again in full for a retake, so treat self-assessment as part of the budget: run ExamsTorrent's practice questions under timed conditions and only book your seat once your scores sit comfortably above the passing bar.
No formal prerequisites, but recommended to have experience with CRM Analytics implementation Eligibility details can change, so before you register, confirm the current requirements on the official exam page: https://trailhead.salesforce.com/help?article=Salesforce-Certified-Tableau-CRM-and-Einstein-Discovery-Consultant-Exam-Guide.
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The official Salesforce Tableau CRM Einstein Discovery Consultant blueprint is organized into 6 domains. The leading areas are:
- Security — 16% of the exam
- Analytics Dashboard Implementation — 19% of the exam
- Analytics Dashboard Design — 13% of the exam
For the complete domain-by-domain breakdown with every subtopic, see the Exam Topics outline above.
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
A Tableau CRM consultant decides to use a recipe to create a new dataset.
Which two source types can be used for the recipe?
Choose 2 answers
- A. Connected data(Synced)
- B. Dataset lens
- C. Existing datasets
- D. Records from a Salesforce object
Correct Answer: A,C 🗳️
When you assign any Analytics permission set to users in your org, Salesforce auto-assigns the Analytics Platform permission set license to that user.
- A. False
- B. True
Correct Answer: B 🗳️
Permissions of which 2 internal users are used by Analytics to gain access to Salesforce data?
- A. Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.
- B. When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.
- C. Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).
Correct Answer: A,B,C 🗳️
The Universal Containers company thinks it knows everything about its business. However, Einstein Discovery surfaces an unexpected pattern that is concerning. They call in departmental experts and hold a meeting to discuss next steps with an Einstein Consultant.
What should the consultant advise as the next action'
- A. Filter out the data that causes the unexpected pattern and analyze the new results.
- B. Determine if the pattern is a data issue or a new insight.
- C. Consult a Data Scientist for further analysis.
- D. Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer.
Correct Answer: D 🗳️
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?
- A. Second-order analysis
- B. Third-order analysis
- C. Object-oriented analysis
- D. Spectrum analysis
- E. First-order analysis
Correct Answer: E 🗳️
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