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CRM-Analytics-and-Einstein-Discovery-Consultant Exam Prep and CRM-Analytics-and-Einstein-Discovery-Consultant Test Dumps - CRM-Analytics-and-Einstein-Discovery-Consultant Exam Question - ExamTorrent

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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

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.

Topic 3

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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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q35-Q40):

NEW QUESTION # 35
You can get data into Einstein Discovery:

A. By using an Einstein analytics dataset
B. Only if your database administrator does it for you
C. Only if Salesforce does it for you
D. By connecting a USB drive to your laptop

Answer: A

Explanation:
Reference:
https://trailhead.salesforce.com/content/learn/modules/wave_exploration_smart_data_discovery_basics/wave_get_smart_data_discovery_and_data

NEW QUESTION # 36
A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?

A. Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
B. Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
C. Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
D. Ask the credit card company for a more comprehensive dataset to analyze.

Answer: B

NEW QUESTION # 37
Timeout for ETL jobs that have been scheduled but not executed

A. 20 minutes
B. 5 minutes
C. 15 minutes
D. 10 minutes

Answer: B

NEW QUESTION # 38
Why are insights in the Unrelated category important?

A. They aren't important. Hence the name, Unrelated.
B. They explain how interaction terms affect the outcome.
C. The outcome might not have much to do with related variables. It might have more to do with global effects.
D. They explain everything about the outcome.

Answer: C

NEW QUESTION # 39
In Einstein Discovery:

A. 'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.
B. 'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.
C. 'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
- waterfall charts for predictions
- bar charts for suggested improvements
D. 'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.

Answer: A,B,C

NEW QUESTION # 40
......

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