Salesforce Consultant Analytics-Con-201 pdf braindumps & Analytics-Con-201 practice exam test

To gain all these benefits you need to enroll in the Salesforce Certified CRM Analytics and Einstein Discovery Consultant Certification EXAM and put all your efforts to pass the challenging Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) exam easily. Do you want to gain all these Salesforce Analytics-Con-201 Certification personal and professional advantages? Looking for the quick, proven, and easiest way to pass the final Analytics-Con-201 exam?
| Section | Objectives |
|---|
| Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies
|
| Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows
|
| Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations
|
| Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization
|
| Security and Access | - App and dataset permissions - Row-level security and sharing rules
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q17-Q22):
NEW QUESTION # 17
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?
- A. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
- B. Use a field on the user record like Department/Region, and apply row-level security based on that field.
- C. Create two separate datasets; one for EMEA, and one for CXOs and VPs.
Answer: B
Explanation:
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
* Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
* Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
* Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.
NEW QUESTION # 18
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce.
Which transformation should the architect use to level the dataset hierarchy?
- A. Flatten
- B. Join
- C. Aggregate
Answer: A
NEW QUESTION # 19
A CRM Analytics consultant has been asked to bring data from an external database as well as five external Salesforce environments into CRMAnalytics. Twenty-five objects have been enabled from the local Salesforce connector.
The requirements are:
* 10 objects should be enabled from an external database
* 12 objects each from three of the external Salesforce environments
* 15 objects each from the remaining two external Salesforce environments The consultant estimates each connector will, per object, bring between 1,000 and 1 million rows of data.
Which limit will be exceeded?
- A. Storage rows of data
- B. Salesforce external connector number of synced rows
- C. Total number of enabled objects
Answer: C
Explanation:
In evaluating the scenario presented where multiple external sources and objects are being integrated into CRM Analytics, we need to consider the total number of enabled objects across all connections. Here's a breakdown:
* 10 objects from an external database
* 12 objects each from three external Salesforce environments, totaling 36 objects
* 15 objects each from two external Salesforce environments, totaling 30 objects
* 25 objects already enabled from the local Salesforce connector
This brings us to a total of 101 objects enabled, which may exceed typical limits on the number of objects that can be enabled in a CRM Analytics environment, depending on the specific Salesforce licensing and platform limits.
NEW QUESTION # 20

Which timeseries statement will fix the query?
- A. q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);
- B. q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
'Date_Month', "Y-M"), partition='Region'); - C. q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
'Date_Month', "Q-M"), partition='Region', ignoreLast=true);
Answer: B
NEW QUESTION # 21
Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?
- A. Clone the dashboard and replace the existing one on the Lightning page with the new one
- B. Check the Analytics Studio app to see if user's access has been removed.
- C. Open the Lightning page, remove the dashboard component, reinsert it, and save the page.
Answer: B
NEW QUESTION # 22
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