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Salesforce Data-Architect Certification is highly valued by employers and can open up many opportunities for professionals in the field. Certified Data Architects are in high demand and can work in a variety of roles, including data architects, data analysts, data scientists, and business intelligence specialists. Salesforce Certified Data Architect certification also demonstrates a commitment to continuous learning and professional development, which is highly valued by employers.

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Salesforce Data-Architect certification exam is a challenging exam that requires extensive knowledge and experience in Salesforce data architecture. Data-Architect exam consists of 60 multiple-choice questions that are designed to test a candidate's knowledge and skills in designing and implementing data architectures using Salesforce. Data-Architect exam is timed, and candidates have three hours to complete the exam. To pass the exam, candidates must score at least 65%.

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Salesforce Certified Data Architect Sample Questions (Q13-Q18):

NEW QUESTION # 13
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?

A. Purchase more data storage to support case object
B. Archive Case data using Salesforce Archiving process
C. Use a custom object to store archived case data.
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 # 14
A large insurance provider is looking to implement Salesforce. The following exist.
1. Multiple channel for lead acquisition
2. Duplication leads across channels
3. Poor customer experience and higher costs
On analysis, it found that there are duplicate leads that are resulting to mitigate the issues?

A. Build process is manually search and merge duplicates.
B. Standard lead information across all channels.
C. Implement de-duplication strategy to prevent duplicate leads
D. Implement third-party solution to clean and event lead data.
E. Build a custom solution to identify and merge duplicate leads.

Answer: B,C,D

NEW QUESTION # 15
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 replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud.
D. Improve reporting performance by creating an Apex trigger for the Report object that will pre-fetch data before the report is run.

Answer: C

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 # 16
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

A. 1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.
B. 1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.
C. 1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.
D. 1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.

Answer: B

Explanation:
Option B is the most appropriate approach for data archiving in this scenario1. By aggregating order amount data at a summary level and storing it in a custom object, you can reduce data storage and still provide visibility to the Sales Reps on how much money each customer generates year-over-year. Option A is not correct because storing data in a zip file does not make it available in Salesforce. Option C is not correct because exporting and deleting orders and order line items may lose important details that are needed for analysis or reporting. Option D is not correct because deleting orders and order line items without exporting them may cause data loss or inconsistency if the customer does not have order information in another system.

NEW QUESTION # 17
Universal Containers (UC) has a complex system landscape and is implementing a data governance program for the first time Which two first steps would be appropriate for UC to initiate an assessment of data architecture? Choose 2 answers

A. Engage with business units and IT to assess current operational systems and data models.
B. Engage with executive sponsorship to assess enterprise data strategy and goals.
C. Engage with IT program managers to assess current velocity of projects in the pipeline.
D. Engage with database administrators to assess current database performance metrics.

Answer: A,B

NEW QUESTION # 18
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