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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
| Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
| Security and Access | - Row-level security and sharing rules - App and dataset permissions |
| Dashboard and App Development | - Interactive filters and user experience optimization - Lens creation and dashboard design |
| Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:
1. A CRM Analytics consultant is updating an existing recipe.
They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard.
What should the consultant do to accomplish this?
A) Use the string multivalue function to convert this field to a text prior to registering the dataset.
B) Use the array multivalue function to convert this field to a text prior to registering the dataset.
C) Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.
2. Universal Containers plans to upload target data from an external tool to CRM Analytics so it can calculate the sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales rep, the target amount, and the month of the target. For each sales rep, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
A) Update
B) Overwrite
C) Append
3. A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?
A) Support Vector Machines
B) K-Nearest Neighbors
C) XGBoost
4. A company realizes it has a lot of rich information around its cases, but unfortunately, most of this isunstructured/textual data. Thecompany is exploring how to include some of this information in its case prioritization.
Which option within CRM Analytics should a consultant leverage?
A) Detect Sentiment transformation in Recipes
B) Cluster transformation in Recipes
C) Bucket transformation in Recipes
5. A CRM Analytics consultant has enabled data sync manually in an org that uses dataflows/recipes. The client says that the dataflow/recipe fails each time it starts running.
What is causing the dataflow/recipe to fail?
A) Dataflows/recipes with Augment nodes fail until sync has run for the first time.
B) Dataflowsysrecipes with computeExpression nodes fail until syne has run for the first time.
C) Dataflows/recipes with sfdcDigest nodes fail until sync has run for the first time.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: C |



