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Salesforce Certified Data Architect Sample Questions (Q179-Q184):

NEW QUESTION # 179
Universal Containers has millions of rows of data in Salesforce that are being used in reports to evaluate historical trends. Performance has become an issue, as well as data storage limits. Which two strategies should be recommended when talking with stakeholders?

A. Combine Analytics Snapshots with a purging plan by reporting on the snapshot data and deleting the original records.
B. Use Data Loader to extract data, aggregate it, and write it back to a custom object, then delete the original records.
C. Configure the Salesforce Archiving feature to archive older records and remove them from the data storage limits.
D. Use scheduled batch Apex to copy aggregate information into a custom object and delete the original records.

Answer: C,D

NEW QUESTION # 180
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?

A. Improve reporting performance by creating a dashboard that is scheduled to run the reports only once per day.
B. Improve reporting performance by creating a custom Visualforce report that is using a cache of the records in the report.
C. Improve reporting performance by creating an Apex trigger for the Report object that will pre-fetch data before the report is run.
D. Improve reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud.

Answer: D

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 # 181
NTO need to extract 50 million records from a custom object everyday from its Salesforce org. NTO is facing query timeout issues while extracting these records.
What should a data architect recommend in order to get around the time out issue?

A. The REST API to extract data as it automatically chunks records by 200.
B. Use a custom auto number and formula field and use that to chunk records while extracting data.
C. Ask SF support to increase the query timeout value.
D. Use ETL tool for extraction of records.

Answer: D

Explanation:
The best solution to extract 50 million records from a custom object everyday from Salesforce org without facing query timeout issues is to use an ETL tool for extraction of records. ETL stands for extract, transform, and load, and it refers to a process of moving data from one system to another. An ETL tool is a software application that can connect to various data sources, perform data transformations, and load data into a target destination. ETL tools can handle large volumes of data efficiently and reliably, and they often provide features such as scheduling, monitoring, error handling, and logging5. Using a custom auto number and formula field and use that to chunk records while extracting data is a possible workaround, but it requires creating additional fields and writing complex queries. The REST API can extract data as it automatically chunks records by 200, but it has some limitations, such as a maximum of 50 million records per query job6. Asking SF support to increase the query timeout value is not feasible because query timeout values are not configurable

NEW QUESTION # 182
DreamHouse Realty has a Salesforce org that is used to manage Contacts.
What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)

A. Use validation rules on new record create and edit.
B. Use the private sharing model.
C. Use Salesforce duplicate management.
D. Use workflow to delete duplicate records.

Answer: A,C

Explanation:
Using Salesforce duplicate management and using validation rules on new record create and edit are two things that an architect should consider using to maintain data quality for managing Contacts. Salesforce duplicate management allows the architect to create matching rules and duplicate rules to identify, prevent, or allow duplicate records based on various criteria. Validation rules allow the architect to enforce data quality standards and business logic by displaying error messages when users try to save invalid data. The other options are not relevant or helpful for maintaining data quality

NEW QUESTION # 183
UC has millions of case records with case history and SLA dat
a. UC's compliance team would like historical cases to be accessible for 10 years for Audit purpose.
What solution should a data architect recommend?

A. Use a custom object to store archived case data.
B. Archive Case data using Salesforce Archiving process
C. Purchase more data storage to support case object
D. Use a custom Big object to store archived case data.

Answer: D

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 purposes3. 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 APIs4. 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 # 184
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