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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a certification program designed to validate the skills and knowledge of professionals in the Salesforce platform. It is an advanced-level certification test that assesses the abilities of individuals to design and implement complex data architectures and management strategies using Salesforce products and solutions.

Achieving the Salesforce Data-Architect certification demonstrates your expertise in designing and implementing data architecture solutions that meet the needs of the business. It also demonstrates your ability to ensure data quality, data security, and compliance with data governance policies. Salesforce Certified Data Architect certification is highly regarded in the Salesforce ecosystem and can enhance your career opportunities and earning potential. By passing the Salesforce Data-Architect Certification Exam, you join an elite group of certified professionals who are recognized for their expertise in Salesforce data architecture.

Salesforce Data-Architect (Salesforce Certified Data Architect) Certification Exam is designed for professionals who specialize in data architecture and management in Salesforce. Salesforce Certified Data Architect certification is highly sought after by employers who require experts to manage their Salesforce data. The Salesforce Data-Architect certification is a symbol of expertise, proficiency, and knowledge in Salesforce data architecture.

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Salesforce Certified Data Architect Sample Questions (Q16-Q21):

NEW QUESTION # 16
Universal Containers (UC) has an Application custom object, which has tens of millions of records created in the past 5 years. UC needs the last 5 years of data to exist in Salesforce at all times for reporting and queries.
UC is currently encountering performance issues when reporting and running queries on this Object using date ranges as filters. Which two options can be used to improve report performance?

A. Add custom indexes to all fields on Application without a standard index.
B. Ask support to create a skinny table for Application with the necessary reporting fields.
C. Add custom indexes to the Date fields used for filtering the report.
D. Run multiple reports to get different pieces of the data and combine them.

Answer: B,C

Explanation:
Ask support to create a skinny table for Application with the necessary reporting fields. This is an option that can improve report performance by creating a custom table that contains frequently used fields and copies their values from standard or custom objects. Skinny tables are kept in sync with their source tables and are used in place of them for reports and queries4. Add custom indexes to the Date fields used for filtering the report. This is another option that can improve report performance by creating custom indexes on fields that are often used as filters or join conditions in reports and queries. Custom indexes can speed up data retrieval and reduce query execution time

NEW QUESTION # 17
Northern Trail Outfitters has these simple requirements for a data export process:
File format should be in CSV.
Process should be scheduled and run once per week.
The expert should be configurable through the Salesforce UI.
Which tool should a data architect leverage to accomplish these requirements?

A. Data export wizard
B. Data loader
C. Third-party ETL tool
D. Bulk API

Answer: A

NEW QUESTION # 18
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. Archive Case data using Salesforce Archiving process
B. Purchase more data storage to support case object
C. Use a custom Big object to store archived case data.
D. Use a custom object to store archived case data.

Answer: C

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 # 19
Universal Containers (UC) has multi -level account hierarchies that represent departments within their major Accounts. Users are creating duplicate Contacts across multiple departments. UC wants to clean the data so as to have a single Contact across departments. What two solutions should UC implement to cleanse their data?
Choose 2 answers

A. Use Data.com to standardize Contact address information to help identify duplicates.
B. Make use of a third -party tool to help merge duplicate Contacts across Accounts.
C. Use Workflow rules to standardize Contact information to identify and prevent duplicates.
D. Make use of the Merge Contacts feature of Salesforce to merge duplicates for an Account.

Answer: A,B

Explanation:
Making use of a third-party tool to help merge duplicate Contacts across Accounts and using Data.com to standardize Contact address information to help identify duplicates are two solutions that UC should implement to cleanse their data and have a single Contact across departments. A third-party tool, such as an app from the AppExchange, can provide advanced features and capabilities for finding and merging duplicate Contacts across different Accounts, based on various criteria and rules. Data.com can provide address verification and standardization services that can enhance the quality and consistency of Contact address information and make it easier to identify duplicates. The other options are not feasible or effective for cleansing the data, as they would either not work across different Accounts, not address the root cause of duplication, or not provide sufficient functionality for merging duplicates

NEW QUESTION # 20
Cloud Kicks is launching a Partner Community, which will allow users to register shipment requests that are then processed by Cloud Kicks employees. Shipment requests contain header information, and then a list of no more than 5 items being shipped.
First, Cloud Kicks will introduce its community to 6,000 customers in North America, and then to 24,000 customers worldwide within the next two years. Cloud Kicks expects 12 shipment requests per week per customer, on average, and wants customers to be able to view up to three years of shipment requests and use Salesforce reports.
What is the recommended solution for the Cloud Kicks Data Architect to address the requirements?

A. Create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years.
B. Create an external custom object to track shipment requests with five lookup custom fields for each item being shipped. External objects are stored off-platform in Heroku's Postgres database.
C. Create a custom object to track shipment requests with five lookup custom fields for each item being shipped Implement an archiving process that moves data off-platform after three years.
D. Create an external custom object to track shipment requests and a child external object to track shipment items. External objects are stored off-platform in Heroku's Postgres database.

Answer: A

Explanation:
The recommended solution for the Cloud Kicks Data Architect to address the requirements is to create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years. This solution would allow Cloud Kicks to store and manage their shipment data on Salesforce, and use Salesforce reports to analyze it. However, since Cloud Kicks expects a large volume of data over time, they should implement an archiving process that moves data off-platform after three years to avoid hitting the Org data storage limit and maintain optimal performance3. External objects are not a good option for this scenario, because they are stored off-platform in an external system, such as Heroku's Postgres database, and they have limited functionality and performance compared to custom objects

NEW QUESTION # 21
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