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| Section | Objectives |
|---|
| Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization
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| Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies
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| Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations
|
| 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
|
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The third format of PassCollection product is the desktop Salesforce Analytics-Con-201 practice exam software. You can access the Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) practice exam after installing this software on your Windows computer or laptop. Specifications we have discussed in the paragraph of the web-based version are available in desktop Analytics-Con-201 Practice Exam software.
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q109-Q114):
NEW QUESTION # 109
The sole manager of a CRM Analytics app at Cloud Kicks is leaving the company.
What should the CRM Analytics consultant do to ensure the app remains accessible?
- A. Wait for the CRM Analytics app to auto-assign an active user as its manager.
- B. Assign an active user the app's manager role before the previous manager is deactivated.
- C. Deactivate the user and assign an active one to the app's manager role.
Answer: B
Explanation:
To ensure continuity in managing a CRM Analytics app at Cloud Kicks after the current manager leaves, it is critical to proactively assign a new manager. Here's why this is the best approach:
* Role Transition: Assigning a new manager before the current manager's account is deactivated ensures there is no gap in app management, maintaining access and administrative continuity.
* Avoid Disruption: Waiting for an automatic reassignment (which does not typically occur in CRM Analytics) or post-deactivation reassignment could disrupt the management and operation of the app, potentially leading to access issues or administrative challenges.
* Proactive Management: This approach is in line with best practices for CRM system management, where critical roles and responsibilities are transitioned smoothly to avoid any operational disruptions.
NEW QUESTION # 110
Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.
How should the CRM Analytics developer accomplish this?
- A. Use a Repeater Widget that updates automatically as the data flows through the system.
- B. Create @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.
- C. Build a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.
Answer: A
Explanation:
TheRepeater Widgetin CRM Analytics allows dynamic updates to be reflected on the dashboard automatically as data flows are updated. This means that as new account managers join or existing account managers change roles, the data in the widget will automatically reflect the latest information without manual updates. This is the most efficient way to keep the dashboard up-to-date with the current list of account managers.
Reference: The functionality ofRepeater Widgetsand their ability to dynamically update based on live data is covered in theWave Analytics Explorerdocumentation, particularly when dealing with team structures and dynamic datasets.
NEW QUESTION # 111
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?
- A. Cluster
- B. Predict Missing Values
- C. Timeseries Forecasting
Answer: A
Explanation:
Reference:CRM Analytics Recipes and Transformation
NEW QUESTION # 112
Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?
- A. In the integration user's currency
- B. the connected user's currency
- C. In the currency that Is set on the "currency" attribute.
Answer: A
Explanation:
When a dataset like "OpportunityDataSet" is populated through a dataflow or recipe in CRM Analytics, thecurrency values(such as the standard field "Amount") will be displayed in the currency of theintegration userunless there is specific currency conversion logic set up within the dataset or recipe. The integration user is the user whose credentials are used to run the dataflow and extract data, and their currency setting will dictate how numeric currency values are displayed unless overridden.
Reference: Salesforce's documentation on multi-currency environments inCRM Analyticsexplains how the integration user's currency affects the display of numeric values.
NEW QUESTION # 113
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?
- A. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols
- B. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
- C. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
Answer: A
Explanation:
To create a weekly forecast per customer, anSAQL (Salesforce Analytics Query Language)query can be used.
The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based onAccount Nameto ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.
NEW QUESTION # 114
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