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| Section | Objectives |
|---|---|
| Topic 1: Data Management | - Data governance principles - Data quality management - Master data management (MDM) concepts |
| Topic 2: Salesforce Data Model and Platform Capabilities | - Relationships and schema design - Reporting and analytics considerations - Standard and custom objects |
| Topic 3: Data Migration | - Data migration strategies and planning - Data cleansing and transformation |
| Topic 4: Data Architecture and Design | - Handling large data volume and scalability considerations - Data modeling best practices in Salesforce - Conceptual and logical data modeling |
| Topic 5: Data Integration | - Integration patterns in Salesforce - API-based integration approaches - ETL vs ELT strategies |
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NEW QUESTION # 141
Universal Containers (UC) has implemented Sales Cloud and it has been noticed that Sales reps are not entering enough data to run insightful reports and dashboards. UC executives would like to monitor and measure data quality metrics. What solution addresses this requirement?
Answer: B
Explanation:
Using third-party AppExchange tools to monitor and measure data quality can address the requirement of UC executives by providing features such as data cleansing, deduplication, validation, enrichment, and scoring. These tools can help improve the accuracy, completeness, and consistency of the data entered by sales reps .
NEW QUESTION # 142
Due to security requirements, Universal Containers needs to capture specific user actions, such as login, logout, file attachment download, package install, etc. What is the recommended approach for defining a solution for this requirement?
Answer: B
Explanation:
Event Monitoring is a feature that allows you to track user actions, such as logins, logouts, downloads, etc., in your Salesforce org. You can use Event Monitoring to monitor performance, usage, security, and compliance
NEW QUESTION # 143
North Trail Outfitters (NTD) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly. Which two native tools should a data architect recommend to achieve this reporting requirement?
Answer: A,B
Explanation:
Async SOQL with a custom object (option B) and Einstein Analytics (option D) are the two native tools that can be used to report on big object data. Async SOQL allows querying big object data and storing the results in a custom object, which can then be used for reporting. Einstein Analytics can connect to big object data sources and provide advanced analytics and visualization features.
NEW QUESTION # 144
UC has a roll-up summary field on Account to calculate the count of contacts associated with an account. During the account load, SF is throwing an "Unable to lock a row" error. Which solution should a data architect recommend, to resolve the error?
Answer: D
Explanation:
The best solution to resolve the error of "Unable to lock a row" during the account load is to perform batch job in serial mode and reduce batch size. This is because roll-up summary fields are calculated synchronously when the parent record is updated, and asynchronously when the child record is updated. Therefore, updating many child records at once can cause locking issues on the parent record. To avoid this, it is recommended to use serial mode and smaller batch sizes when loading data using tools like Data Loader or Bulk API. Leverage data loader platform API to load data is not a good option because it does not specify the mode or batch size. Perform batch job in parallel mode and reduce batch size is not a good option because parallel mode can still cause locking issues even with smaller batches. Defer roll-up summary fields calculation during data migration is not a good option because it is not possible to defer or disable roll-up summary fields calculation
NEW QUESTION # 145
What is the best tool for analyzing SOQL query performance?
Answer: C
Explanation:
It shows cost, selectivity, and index usage.
NEW QUESTION # 146
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