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| Topic |
Details |
| Topic 1 |
- Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.
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| Topic 2 |
- Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
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| Topic 3 |
- Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.
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| Topic 4 |
- Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q87-Q92):
NEW QUESTION # 87
An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.
How should this metric be calculated?
- A. Create a computeExpression in the dataflow.
- B. Create a formula field on the lead object in Salesforce and add it to the dataset.
- C. Create a new step in the dashboard using a compare table and define a formula.
- D. Create a new step in the dashboard using a compare table and the running total function.
Answer: A
NEW QUESTION # 88
A consultant wants to understand what the important predictors are in the story.
What are two places where this information can be found?
Choose 2 answers
- A. In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.
- B. In the Model Deployment Wizard while selecting the actionable fields
- C. In the Model Metrics section, where the top predictors are listed
- D. In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn't hold any Important predictors but only weak (probably unrelated) terms.
Answer: A,C
NEW QUESTION # 89
An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics, but want guidance around how to ensure that their users have correct access.
They have 1000 users with a small team of three people who will build datasets and dashboards. An additional 15 people should be able to create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
- A. Assign "Einstein Analytics Explorer" licenses to users that should only view the dashboard, and assign "Einstein Analytics Developer" licenses to users that should be able to create datasets and dashboards.
- B. Create and assign three new Salesforce profiles according to the three types of roles defined.
- C. Assign the app permissions "viewer/' "editor," and "manager" to the three types of roles defined.
- D. Create and assign Salesforce permission sets according to the three types of roles defined.
Answer: D
NEW QUESTION # 90
Default rows in values table
Answer: B
NEW QUESTION # 91
What does XMD stand for?
- A. Lenses Dataset Fields
- B. Extended Metadata
- C. Create a JSON
- D. Configuring unsupported fields
Answer: B
NEW QUESTION # 92
......
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