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Salesforce is a cloud-based customer relationship management (CRM) software that is widely used by businesses of all sizes. As companies handle huge amounts of data, they need professionals who can manage that data efficiently. The Salesforce Certified Data Architect certification exam is designed to test an individual's ability to design and implement data solutions that meet business requirements.

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Salesforce Data-Architect Certification Exam is intended for professionals who have experience in Salesforce data architecture and management. Candidates should have a deep understanding of Salesforce data model, data architecture, and data management principles. They should also have experience in designing and implementing data integration, migration, and analytics solutions in Salesforce.

Salesforce Certified Data Architect is an advanced-level certification that validates a professional's knowledge and skills in designing and implementing data architecture solutions in the Salesforce platform. Salesforce Certified Data Architect certification is intended for individuals who have extensive experience in data modeling, database design, data integration, and data governance. It also requires a deep understanding of the Salesforce data architecture, including the platform's data model, data storage options, data security, and data management features.

Salesforce Certified Data Architect Sample Questions (Q159-Q164):

NEW QUESTION # 159
Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC'' org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend.
What should a data architect do to mitigate any unwanted results during the import?

A. Ensure validation rules, triggers and other automation tools are disabled.
B. Ensure duplication and matching rules and defined.
C. Import the data in smaller batches over a 24-hour period.
D. Bulkily the trigger to handle import leads.

Answer: A

NEW QUESTION # 160
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents.
UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:

A. Use Heroku and external objects to display cases older than 2 years and bulk API to hard delete from Salesforce.
B. Use Big objects for cases older than 2 years, and use nightly batch to move them.
C. Sync cases older than 2 years to an external database, and provide access to Service agents to the database
D. Use custom objects for cases older than 2 years and use nightly batch to move them.

Answer: A,B

Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits.
They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.

NEW QUESTION # 161
UC has a variety of systems across its technology landscape, including SF, legacy enterprise resource planning (ERP) applications and homegrown CRM tools. UC has decided that they would like to consolidate all customer, opportunity and order data into Salesforce as part of its master data management (MDM) strategy.
What are the 3 key steps that a data architect should take when merging data from multiple systems into Salesforce? Choose 3 answers:

A. Analyze each system's data model and perform gap analysis
B. Create new fields to store additional values from all the systems.
C. Utilize an ETL tool to merge, transform and de-duplicate data.
D. Work with Stakeholders to define record and field survivorship rules
E. Install a 3rd party AppExchange tool to handle the merger

Answer: A,C,D

NEW QUESTION # 162
Northern Trail Outfitters is concerned because some of its data is sensitive and needs to be identified for access.
What should be used to provide ways to filter and identify the sensitive data?

A. Define data classification metadata.
B. Custom checkbox denoting sensitive data.
C. Implement field-level security.
D. Define data grouping metadata.

Answer: A

NEW QUESTION # 163
For a production cutover, a large number of Account records will be loaded into Salesforce from a legacy system. The legacy system does not have enough information to determine the Ownership for these Accounts upon initial load. Which two recommended options assign Account ownership to mitigate potential performance problems?

A. Let the VP of the Sales department, who will report directly to the senior VP, own all the Account records.
B. Let a "system user" own the Account records and assign this user to the lowest-level role in the Role Hierarchy.
C. Let a "system user" own all the Account records and make this user part of the highest-level role in the Role Hierarchy.
D. Let a "system user" own all the Account records without assigning any role to this user in Role Hierarchy.

Answer: B,D

NEW QUESTION # 164
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