Valid Study Data-Architect Questions & Data-Architect Cost Effective Dumps
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Salesforce Data-Architect Exam is a challenging exam that requires extensive knowledge of Salesforce data management concepts and principles. Data-Architect exam consists of multiple-choice questions and scenario-based questions that test a candidate's ability to design and manage complex data architectures on the Salesforce platform. Candidates must have a thorough understanding of data modeling, data integration, data governance, and data security. Passing Data-Architect Exam requires extensive preparation, including studying the Salesforce Data-Architect exam guide, taking practice exams, and gaining practical experience in designing and implementing data solutions on the Salesforce platform.
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By earning the Salesforce Data-Architect certification, you may stop worrying about the bad things that might happen and instead concentrate on the advantages of making this decision and developing new skills that will increase your chances of landing your ideal job. You should start the preparations for the Salesforce Data-Architect Certification Exam to improve your knowledge.
Salesforce Certified Data-Architect exam is a challenging exam that tests the knowledge and expertise of the candidate in various areas, including data modeling, data integration, data architecture, and data governance. Data-Architect Exam consists of multiple-choice questions and scenario-based questions, and it requires in-depth knowledge of the Salesforce platform and its capabilities.
Salesforce Certified Data Architect Sample Questions (Q98-Q103):
NEW QUESTION # 98
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answers:
- A. Data governance policy.
- B. Data sensitivity level
- C. Reference data policy.
- D. Compliance categorization policy.
Answer: B,D
NEW QUESTION # 99
Universal Containers (UC) has lead assignment rules to assign leads to owners. Leads not routed by assignment rules are assigned to a dummy user. Sales rep are complaining of high load times and issues with accessing leads assigned to the dummy user.
What should a data architect recommend to solve these performance issues?
- A. Periodically delete leads to reduce number of leads
- B. Assign dummy user last role in role hierarchy
- C. Assign dummy user to highest role in role hierarchy
- D. Create multiple dummy user and assign leads to them
Answer: D
NEW QUESTION # 100
UC has a requirement to migrate 100 million order records from a legacy ERP application into the salesforce platform. UC does not have any requirements around reporting on the migrated data.
What should a data architect recommend to reduce the performance degradation of the platform?
- A. Use a standard big object defined by salesforce.
- B. Implement a custom big object to store the data.
- C. Create a custom object to store the data.
- D. Use the standard "Order" object to store the data.
Answer: B
Explanation:
Implementing a custom big object to store the data is the best recommendation to reduce the performance degradation of the platform, as it allows storing large volumes of data that do not need real-time access or reporting. Custom big objects can be defined using metadata API or developer console, and support up to 1 billion records per object. Creating a custom object or using the standard order object would consume a lot of storage space and impact the performance of queries and reports. Using a standard big object defined by salesforce would not be applicable for order records, as standard big objects are predefined for specific use cases such as audit trails or field history.
NEW QUESTION # 101
Universal Container (UC) has around 200,000 Customers (stored in Account object). They get 1 or 2 Orders every month from each Customer. Orders are stored in a custom object called "Order c"; this has about 50 fields. UC is expecting a growth of 10% year -over -year. What are two considerations an architect should consider to improve the performance of SOQL queries that retrieve data from the Order _c object? Choose 2 answers
- A. Use SOQL queries without WHERE conditions.
- B. Reduce the number of triggers on Order _c object.
- C. Make the queries more selective using indexed fields.
- D. Work with Salesforce Support to enable Skinny Tables.
Answer: C,D
Explanation:
To improve the performance of SOQL queries that retrieve data from the Order_c object, the data architect should work with Salesforce Support to enable Skinny Tables and make the queries more selective using indexed fields. Skinny Tables are custom tables that contain frequently used fields and are kept in sync with the base tables3. They can improve performance by reducing the number of table joins and using indexes. Making the queries more selective using indexed fields can also improve performance by reducing the query execution time and avoiding query timeouts4. The other options are not effective or recommended for improving SOQL performance.
NEW QUESTION # 102
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. Run multiple reports to get different pieces of the data and combine them.
- D. Add custom indexes to the Date fields used for filtering the report.
Answer: B,D
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 # 103
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