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Hot Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Spot Questions - 100% CRM-Analytics-and-Einstein-Discovery-Consultant Accuracy
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Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:
Topic
Details
Topic 1
- Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.
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.
Topic 3
- 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 4
- 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 5
- Admin
- Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync
- dataflows
- recipe limits.
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q34-Q39):
NEW QUESTION # 34
What does the Division is Naval section of the waterfall graph tell you?
- A. How the chosen variable is related to all other factors in the model for Naval customers
- B. How individual factors separately affect the outcome for Naval customers
- C. How combinations of factors affect the CLV for Naval customers
- D. What the relationship is between significant and insignificant factors as they impact CLV for Naval customers
Answer: C
Explanation:
Reference:
https://trailhead.salesforce.com/en/content/learn/modules/dm_einstein_discovery_advanced_stories/dm_understand_why_it_happened_insights
NEW QUESTION # 35
The client is trying to create a SAQL step to predict sales in each sales region. They cannot get the query to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.
Which timeseries statement will fix the query'
- A. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');
- B. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);
- C. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);
- D. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"), partition='Region');
Answer: D
NEW QUESTION # 36
What is a valid permission for a permission set?
- A. Always Sign Me Up for Dreamforce
- B. Enable Parental Control
- C. Access Sales Cloud Analytics Templates and Apps
- D. Sales Analytics Apps
Answer: C
NEW QUESTION # 37
Exhibit:
Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers
- A. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.
- B. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.
- C. Germany performs lower than average but better when the product is Call Center.
- D. Germany sells more Call Center product and that helps them increase their win rate.
Answer: B,D
NEW QUESTION # 38
A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.
How can the developers add new fields while keeping the dataset refreshed?
- A. Clone the existing recipe to add fields and roll back the original recipe to the last working version.
- B. A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.
- C. Refresh the dataset after working hours to avoid the edited version from failing.
Answer: A
Explanation:
When faced with the need to continue refreshing data while developing new features in a recipe, the best practice is:
Clone the Existing Recipe: By cloning the recipe, developers can experiment with adding new fields and transformations without affecting the production data flow. This allows for testing and development in a sandbox-like environment.
Roll Back to a Stable Version: Rolling back the original recipe to the last stable version ensures that the production dashboards continue to receive refreshed data, maintaining business operations without disruption.
This approach not only ensures data continuity but also provides a safe environment to address any issues that may arise from new developments.
NEW QUESTION # 39
......
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