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| Section | Objectives |
|---|---|
| Data Architecture and Design | - Handling large data volume and scalability considerations - Conceptual and logical data modeling - Data modeling best practices in Salesforce |
| Salesforce Data Model and Platform Capabilities | - Reporting and analytics considerations - Standard and custom objects - Relationships and schema design |
| Data Integration | - API-based integration approaches - ETL vs ELT strategies - Integration patterns in Salesforce |
| Data Management | - Data quality management - Data governance principles - Master data management (MDM) concepts |
| Data Migration | - Data cleansing and transformation - Data migration strategies and planning |
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NEW QUESTION # 34
UC has millions of case records with case history and SLA data. UC's compliance team would like historical cases to be accessible for 10 years for Audit purpose. What solution should a data architect recommend?
Answer: A
Explanation:
The best solution to store historical cases for 10 years for audit purpose is to use a custom Big object to store archived case data. Big objects are a type of custom object that can store massive amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Big objects can be used for archiving historical data that needs to be retained for compliance or analytics purposes. Archiving case data using Salesforce Archiving process is not a good option because it only supports archiving cases that are closed for more than one year, and it does not allow customizing the archival criteria or accessing the archived data via Apex or APIs. Purchasing more data storage to support case object is expensive and may impact performance. Using a custom object to store archived case data is not scalable and may consume a lot of storage space.
NEW QUESTION # 35
Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
- NTO has a total of five million customers.
- Duplicate records exist, which is replicated across many systems,
including Salesforce.
- Given these conditions, there is a lack of consistent presentation
and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?
Answer: A,D,E
Explanation:
Creating a unique global customer ID for each customer and storing that in all systems for referential identity (option A), investing in a data duplicate tool to de-dupe and merge duplicate records across all systems (option C), and creating a customer master database external to Salesforce as a system of truth and syncing the customer data with all systems (option E) are the three options that a data architect should perform to resolve the issues with the customer data.
Option A ensures that each customer can be uniquely identified across different systems, option C eliminates duplicate records and improves data quality, and option E provides a consistent and reliable source of customer data for all systems.
NEW QUESTION # 36
A company has 12 million records, and a nightly integration queries these records. Which two areas should a Data Architect investigate during troubleshooting if queries are timing out?
(Choose two.)
Answer: B,D
Explanation:
Making sure the query does not contain NULL in any filter criteria can avoid full table scans and leverage indexes more efficiently. Queries with NULL filters are not selective and can cause performance issues. Creating custom indexes on the fields used in the filter criteria can also enhance the query performance by reducing the number of records to scan.
NEW QUESTION # 37
A shipping and logistics company has created a large number of reports within Sales Cloud since Salesforce was introduced. Some of these reports analyze large amounts of data regarding the whereabouts of the company's containers, and they are starting to time out when users are trying to run the reports. What is a recommended approach to avoid these time-out issues?
Answer: A
Explanation:
Improving reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud can avoid the time-out issues by leveraging the power and scalability of Analytics Cloud. Analytics Cloud can handle large volumes of data and provide faster and more interactive reports than Sales Cloud.
NEW QUESTION # 38
Universal Containers has deployed Salesforce for case management The company is having difficulty understanding what percentage of cases are resolved from the initial call to their support organization. What first step is recommended to implement a reporting solution to measure the support reps case closure rates?
Answer: B
Explanation:
Enabling field history tracking on the Case object is the first step to implement a reporting solution to measure the support reps case closure rates. Field history tracking allows you to track changes to certain fields on the Case object, such as Status, Owner, or Priority. You can then create reports based on the field history data to analyze how long it took to close a case, how many times the case owner changed, or how many cases were escalated.
NEW QUESTION # 39
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