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Salesforce Certified Data Architect (CDA) credential is highly respected in the industry, and it demonstrates the candidate's proficiency in Salesforce data architecture and management. Salesforce Certified Data Architect certification is recognized by employers worldwide and is a valuable asset for anyone who wants to advance their career in the Salesforce ecosystem. The CDA certification is also a prerequisite for advanced certifications such as Application Architect and System Architect.
Salesforce Data-Architect Certification Exam is intended for professionals who have experience in designing and implementing data architecture solutions, including data modeling, data management, and data integration. Data-Architect exam measures the candidate's knowledge and skills in data governance, data quality, data security, and data architecture patterns. Salesforce Certified Data Architect certification exam is a proctored, multiple-choice exam that consists of 60 questions, which must be completed within 120 minutes.
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To be eligible for the Salesforce Data-Architect exam, candidates must have a minimum of five years of experience in data architecture and management, including at least two years of experience working with the Salesforce platform. They must also hold one of the prerequisite certifications, such as Salesforce Certified Application Architect or Salesforce Certified System Architect. Passing the Salesforce Data-Architect Exam is a significant achievement that demonstrates a deep understanding of Salesforce data architecture and management, and it can open up new career opportunities in the field.
Salesforce Certified Data Architect Sample Questions (Q240-Q245):
NEW QUESTION # 240
A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records.
Which two approaches should the manager take to achieve this goal? (Choose two.)
- A. Acquire an AppExchange Lead de-duplication application.
- B. Implement Salesforce Matching and Duplicate Rules.
- C. Run the Salesforce Lead Mass de-duplication tool.
- D. Create a Workflow Rule to check for duplicate records.
Answer: A,B
Explanation:
Acquiring an AppExchange Lead de-duplication application and implementing Salesforce Matching and Duplicate Rules are two approaches that the manager at Cloud Kicks should take to avoid creating duplicate records when importing Leads into Salesforce. An AppExchange Lead de-duplication application can provide additional features and functionality for finding and preventing duplicate Leads during import, such as fuzzy matching, custom rules, mass merge, etc. Salesforce Matching and Duplicate Rules can allow the manager to define how Salesforce identifies duplicate Leads based on various criteria and how users can handle them during import, such as blocking, allowing, or alerting them. The other options are not feasible or effective for avoiding duplicate records, as they would either not work during import, not provide de-duplication capabilities, or require additional customization.
NEW QUESTION # 241
UC is preparing to implement sales cloud and would like to its users to have read only access to an account record if they have access to its child opportunity record. How would a data architect implement this sharing requirement between objects?
- A. Add appropriate users to the account team.
- B. Create an owner-based sharing rule.
- C. Create a criteria-based sharing rule.
- D. Implicit sharing will automatically handle with standard functionality.
Answer: D
NEW QUESTION # 242
Universal Containers (UC) has adopted Salesforce as its primary sales automated tool. UC has 100,00 customers with a growth rate of 10% a year, UC uses an on-premise web-based billing and invoice system that generates over 1 million invoices a year supporting a monthly billing cycle.
The UC sales team needs to be able to pull a customer record and view their account status, Invoice history, and opportunities without navigating outside of Salesforce.
What should a data architect use to provide the sales team with the required functionality?
- A. Write an Apex callout and populate a related list to display on the account record.
- B. Create a custom object and migrate the last 12 months of Invoice data into Salesforce so it can be displayed on the Account layout.
- C. Create a visual force tab with the billing system encapsulated within an iframe.
- D. Create a mashup page that will present the billing system records within Salesforce.
Answer: D
Explanation:
To provide the sales team with the required functionality, a data architect should use a mashup page that will present the billing system records within Salesforce. A mashup page is a web page that combines data from multiple sources into a single integrated view. A mashup page can be created using Visualforce or Lightning Web Components, and can use Salesforce Connect or custom integrations to access external data from the on-premise web-based billing and invoice system. This will allow the sales team to pull a customer record and view their account status, invoice history, and opportunities without navigating outside of Salesforce. Option A is incorrect because creating a custom object and migrating the last 12 months of invoice data into Salesforce so it can be displayed on the account layout will consume a lot of storage space and may not reflect the latest data from the billing system. Option B is incorrect because writing an Apex callout and populating a related list to display on the account record will require additional development effort and may not be scalable or performant for large volumes of data. Option D is incorrect because creating a visual force tab with the billing system encapsulated within an iframe will not allow the sales team to view the billing system records within the customer record, but rather in a separate tab.
NEW QUESTION # 243
To address different compliance requirements, such as general data protection regulation (GDPR), personally identifiable information (PII), of health insurance Portability and Accountability Act (HIPPA) and others, a SF customer decided to categorize each data element in SF with the following:
Data owner
Security Level, such as confidential
Compliance types such as GDPR, PII, HIPPA
A compliance audit would require SF admins to generate reports to manage compliance.
What should a data architect recommend to address this requirement?
- A. Create a custom object and field to capture necessary compliance information and build custom reports.
- B. Use field metadata attributes for compliance categorization, data owner, and data sensitivity level.
- C. Use metadata API, to extract field attribute information and use the extract to classify and build reports
- D. Build reports for field information, then export the information to classify and report for Audits.
Answer: B
Explanation:
The data architect should recommend using field metadata attributes for compliance categorization, data owner, and data sensitivity level. This will allow the SF admins to generate reports to manage compliance based on the field metadata attributes that are defined for each data element in SF. Option A is incorrect because using metadata API to extract field attribute information and use the extract to classify and build reports will require additional development effort and may not be up-to-date with the latest changes in SF.
Option C is incorrect because creating a custom object and field to capture necessary compliance information and build custom reports will require additional configuration effort and may not be consistent with the actual data elements in SF. Option D is incorrect because building reports for field information, then exporting the information to classify and report for audits will require additional manual effort and may not be accurate or timely.
NEW QUESTION # 244
Universal Containers would like to have a Service-Level Agreement (SLA) of 1 day for any data loss due to unintentional or malicious updates of records in Salesforce. What approach should be suggested to address this requirement?
- A. Schedule a Weekly Extract Service for key objects and extract data in XL sheets to on-premise systems.
- B. Build a daily extract job and extract data to on-premise systems for long-term backup and archival purposes.
- C. Evaluate a third-party AppExchange app, such as OwnBackup or Spanning, etc., for backup and archival purposes.
- D. Store all data in shadow custom objects on any updates and deletes, and extract them as needed .
Answer: C
NEW QUESTION # 245
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