DATA-ARCHITECT RELIABLE EXAM VCE & DATA-ARCHITECT LATEST EXAM TEST

Data-Architect Reliable Exam Vce & Data-Architect Latest Exam Test

Data-Architect Reliable Exam Vce & Data-Architect Latest Exam Test

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Salesforce Data-Architect Certification Exam is a rigorous and challenging exam that requires extensive preparation and knowledge of Salesforce data architecture. Successful candidates will have demonstrated their expertise in designing and implementing data solutions on the Salesforce platform. Salesforce Certified Data Architect certification is a valuable asset for individuals seeking career advancement in the field of Salesforce data architecture and management. It is also a key differentiator for organizations looking to hire Salesforce professionals with advanced skills in data management and architecture.

Salesforce is a cloud-based customer relationship management (CRM) system that aims to connect businesses with their customers in a more personalized and efficient manner. The Salesforce ecosystem has grown rapidly over the years, and it has become a popular choice for businesses of all sizes. As a result, the demand for certified Salesforce professionals has increased, and one of the most sought-after certifications is the Salesforce Data-Architect Certification.

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Data-Architect Latest Exam Test - Data-Architect Reliable Dumps Files

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To prepare for the Salesforce Data-Architect Certification Exam, you should have a good understanding of Salesforce data architecture, database design, data modeling, data integration, and data management. You should also have experience in designing and implementing data solutions in Salesforce, using tools such as Salesforce Connect, Salesforce Data Loader, and Salesforce Workbench. Salesforce offers several training courses and resources to help you prepare for the certification exam, including Trailhead modules, instructor-led training, and self-paced online learning.

Salesforce Certified Data Architect Sample Questions (Q12-Q17):

NEW QUESTION # 12
Get Cloudy Consulting uses an invoicing system that has specific requirements. One requirement is that attachments associated with the Invoice_c custom object be classified by Types (i.e., ""Purchase Order"", ""Receipt"", etc.) so that reporting can be performed on invoices showing the number of attachments grouped by Type.
What should an Architect do to categorize the attachments to fulfill these requirements?

  • A. Create a custom picklist field for the Type on the standard Attachment object with the values.
  • B. Create a custom object related to the Invoice object with a picklist field for the Type.
  • C. Add a ContentType picklist field to the Attachment layout and create additional picklist options.
  • D. Add additional options to the standard ContentType picklist field for the Attachment object.

Answer: B

Explanation:
Creating a custom object related to the Invoice object with a picklist field for the Type allows the architect to categorize the attachments and report on them by Type. The standard Attachment object does not have a ContentType picklist field, and adding a custom picklist field to it would not be best practice.


NEW QUESTION # 13
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

  • A. Install a third-party AppExchange tool.
  • B. Use the Bulk API in parallel mode.
  • C. Utilize PK Chunking with the Bulk API.
  • D. Call the REST API in successive queries.

Answer: C

Explanation:
According to the Salesforce documentation2, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract
100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object. This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API3.
Installing a third-party AppExchange tool (option A) is not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle such a large volume of data efficiently. Calling the REST API in successive queries (option B) is also not a good solution, as it can encounter API limits and performance issues when querying such a large volume of data. Using the Bulk API in parallel mode (option D) is also not a good solution, as it can still cause timeouts and errors when querying such a large volume of data without chunking.


NEW QUESTION # 14
An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?

  • A. Group batches by the AccountId field.
  • B. Sort batches by Name field values.
  • C. Order batches by Auto -number field.
  • D. Create indexes on Opportunity object text fields.

Answer: C


NEW QUESTION # 15
Universal Containers wants to automatically archive all inactive Account data that is older than 3 years. The information does not need to remain accessible within the application. Which two methods should be recommended to meet this requirement? Choose 2 answers

  • A. Schedule jobs to export and delete using the Data Loader.
  • B. Use the Force.com Workbench to export the data.
  • C. Schedule jobs to export and delete using an ETL tool.
  • D. Schedule a weekly export file from the Salesforce UI.

Answer: A,C


NEW QUESTION # 16
Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:
1. High Value
2. Medium Value
3. Low Value
Which strategy should a data architect recommend to configure customer type?

  • A. Lookup to a custom object with defined choices.
  • B. Provide help text to guide users with defined choices.
  • C. Single-select restricted picklist with defined choices.
  • D. Create a validation rule to limit entry to defined choices.

Answer: C


NEW QUESTION # 17
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