DATA-ARCHITECT TEST LAB QUESTIONS, LATEST DATA-ARCHITECT DUMPS SHEET

Data-Architect Test Lab Questions, Latest Data-Architect Dumps Sheet

Data-Architect Test Lab Questions, Latest Data-Architect Dumps Sheet

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Tags: Data-Architect Test Lab Questions, Latest Data-Architect Dumps Sheet, Exam Data-Architect Bible, Reliable Data-Architect Exam Materials, Data-Architect Detailed Study Plan

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Salesforce Certified Data Architect exam is a challenging and comprehensive test that evaluates a candidate's expertise in various areas of data architecture. Data-Architect Exam covers topics such as data modeling, data integration, data governance, data security, data migration, and data quality. Data-Architect exam consists of 60 multiple-choice questions and has a duration of 120 minutes. A passing score of 70% or higher is required to obtain the certification.

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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Latest Data-Architect Dumps Sheet & Exam Data-Architect Bible

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Salesforce Data-Architect (Salesforce Certified Data Architect) Exam is a certification program designed to validate the skills and knowledge of professionals in the Salesforce platform. It is an advanced-level certification test that assesses the abilities of individuals to design and implement complex data architectures and management strategies using Salesforce products and solutions.

Salesforce Certified Data Architect Sample Questions (Q14-Q19):

NEW QUESTION # 14
Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan?
Choose 2 answers

  • A. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
  • B. Store all data in an external system and set up an integration to Salesforce for view -only access.
  • C. Use Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes.
  • D. Schedule reports that will automatically catch duplicates and merge or delete the records every week.

Answer: A,C

Explanation:
Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review and using Workflow, Validation Rules, and Force.com code (Apex) to enforce critical business processes are two approaches that an architect should recommend to enforce the new Data Quality Plan for UC's Salesforce data. Scheduling a weekly dashboard can provide a regular and visual way of monitoring the data quality and identifying any gaps or issues that need to be addressed by the managers or users. Using Workflow, Validation Rules, and Apex can provide various ways of enforcing data quality standards and business logic by automating actions, displaying error messages, or executing custom code when users create or edit records. The other options are not suitable or helpful for enforcing the Data Quality Plan, as they would either not provide real-time feedback, not prevent data quality issues, or not leverage the capabilities of Salesforce


NEW QUESTION # 15
Universal Containers is setting up an external Business Intelligence (BI) system and wants to extract 1,000,000 Contact records. What should be recommended to avoid timeouts during the export process?

  • A. Schedule a Batch Apex job to export the data.
  • B. Use the SOAP API to export data.
  • C. Use GZIP compression to export the data.
  • D. Utilize the Bulk API to export the data.

Answer: C


NEW QUESTION # 16
Universal Containers is looking to use Salesforce to manage their sales organization. They will be migrating legacy account data from two aging systems into Salesforce. Which two design considerations should an architect take to minimize data duplication? Choose 2 answers

  • A. Use Salesforce matching and duplicate rules.
  • B. Clean data before importing to Salesforce.
  • C. Import the data concurrently.
  • D. Use a workflow to check and prevent duplicates.

Answer: A,B

Explanation:
Cleaning data before importing to Salesforce and using Salesforce matching and duplicate rules are two design considerations that an architect should take to minimize data duplication when migrating legacy account data from two aging systems into Salesforce. Cleaning data before importing involves removing or correcting any inaccurate, incomplete, or inconsistent data from the source systems, as well as identifying and resolving any potential duplicates. This ensures that only high-quality and unique data is imported to Salesforce. Using Salesforce matching and duplicate rules allows the architect to define how Salesforce identifies duplicate records during import and how users can handle them. This prevents or reduces the creation of duplicate records in Salesforce and improves data quality. The other options are not effective or recommended for minimizing data duplication.


NEW QUESTION # 17
Universal Containers (UC) is using Salesforce Sales & Service Cloud for B2C sales and customer service but they are experiencing a lot of duplicate customers in the system. Which are two recommended approaches for UC to avoid duplicate data and increase the level of data quality?

  • A. Use a data wharehouse.
  • B. Use an Enterprise Service Bus.
  • C. Use Data.com Clean
  • D. Use Duplicate Management.

Answer: C,D


NEW QUESTION # 18
Universal Containers has been a customer of Salesforce for 10 years. Currently they have 2 million accounts in the system. Due to an erroneous integration built 3 years ago, it is estimated there are 500,000 duplicates in the system.
Which solution should a data architect recommend to remediate the duplication issue?

  • A. Implement duplicate rules
  • B. Develop an ETL process that utilizers the merge API to merge the duplicate records
  • C. Utilize a data warehouse as the system of truth
  • D. Extract the data using data loader and use excel to merge the duplicate records

Answer: A

Explanation:
Implementing duplicate rules (option D) is the best solution to remediate the duplication issue, as it allows the data architect to identify and merge duplicate accounts in Salesforce using native features and tools. Developing an ETL process that utilizes the merge API to merge the duplicate records (option A) is not a good solution, as it may require more coding and testing effort, and it does not prevent duplicates from being created in Salesforce. Utilizing a data warehouse as the system of truth (option B) is also not a good solution, as it may introduce additional complexity and cost, and it does not address the duplication issue in Salesforce. Extracting the data using data loader and using excel to merge the duplicate records (option C) is also not a good solution, as it may be time-consuming and error-prone, and it does not prevent duplicates from being created in Salesforce.


NEW QUESTION # 19
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