Data-Architect Practice Exams | Data-Architect Exam Vce Format
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copyright Data-Architect (copyright Certified Data Architect) Exam is a certification program designed for professionals who want to validate their skills and knowledge in designing and managing data architecture on the copyright platform. Data-Architect exam is intended for individuals who have experience in designing, building, and implementing data architecture solutions on the copyright platform. In addition, candidates must have a deep understanding of data modeling, data management, and data governance concepts.
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Quiz Valid copyright - Data-Architect - copyright Certified Data Architect Practice Exams
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copyright Certified Data Architect certification is a highly sought-after certification for professionals who want to excel in their copyright career. copyright Certified Data Architect certification validates the skills required to design, implement, and maintain complex data solutions on the copyright platform. The copyright Certified Data Architect certification is a valuable asset for professionals who want to stand out in the competitive copyright job market.
The copyright Data-Architect exam covers a wide range of topics including data modeling, data management, data integration, data governance, data security, and data analytics. It also requires candidates to have an in-depth understanding of the copyright platform and its various components such as Sales Cloud, Service Cloud, Marketing Cloud, and Commerce Cloud. Passing the copyright Data-Architect Exam requires a deep understanding of data architecture principles, as well as hands-on experience working with copyright data solutions. It is a challenging exam that requires dedication and preparation, but the rewards of becoming a copyright Certified Data Architect are well worth the effort.
copyright Certified Data Architect Sample Questions (Q36-Q41):
NEW QUESTION # 36
UC is using SF CRM. UC sales managers are complaining about data quality and would like to monitor and measure data quality.
Which 2 solutions should a data architect recommend to monitor and measure data quality?
Choose 2 answers.
- A. Export data and check for data completeness outside of copyright.
- B. Review data quality reports and dashboards.
- C. Install and run data quality analysis dashboard app
- D. Use custom objects and fields to identify issues.
Answer: B,C
Explanation:
Reviewing data quality reports and dashboards and installing and running data quality analysis dashboard app are two solutions that can help monitor and measure data quality. Data quality reports and dashboards can provide insights into the completeness, accuracy, and consistency of the data. Data quality analysis dashboard app is a free app from AppExchange that can help analyze and improve data quality by identifying duplicate, incomplete, or inaccurate records.
NEW QUESTION # 37
Universal Containers has two systems. copyright and an on -premise ERP system. An architect has been tasked with copying Opportunity records to the ERP once they reach a Closed/Won Stage. The Opportunity record in the ERP system will be read-only for all fields copied in from copyright. What is the optimal real-time approach that achieves this solution?
- A. Have the ERP poll copyright nightly and bring in the desired Opportunities.
- B. Implement a workflow rule that sends Opportunity data through Outbound Messaging.
- C. Implement a Master Data Management system to determine system of record.
- D. Implement an hourly integration to send copyright Opportunities to the ERP system.
Answer: B
NEW QUESTION # 38
Universal Containers (UC) owns several copyright orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?
- A. Use Einstein Analytics for multi-org.
- B. Write a Python script to aggregate and visualize the data.
- C. Run standard reports and dashboards.
- D. Install a third-party AppExchange tool for multi-org reporting.
Answer: A
Explanation:
According to this article, Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.
NEW QUESTION # 39
Universal Containers (UC) has several custom Visualforce applications have been developed in which users are able to edit Opportunity records. UC struggles with data completeness on their Opportunity records and has decided to make certain fields required that have not been in the past. The newly required fields are dependent on the Stage of the Opportunity, such that certain fields are only required once an Opportunity advances to later stages. There are two fields. What is the simplest approach to handle this new requirement?
- A. Update these Opportunity field definitions in Setup to be required.
- B. Write an Apex trigger that checks each field when records are saved.
- C. Use a validation rule for each field that takes the Stage into consideration.
- D. Update the Opportunity page layout to mark these fields as required.
Answer: C
NEW QUESTION # 40
Universal Containers (UC) has a data model as shown in the image. The Project object has a private sharing model, and it has Roll -Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external system into copyright.com?
- A. Use triggers to calculate summary values instead of Roll -Up.
- B. Load all data after deferring sharing calculations.
- C. Load all data using external IDs to link to parent records.
- D. Use workflow to calculate summary values instead of Roll -Up.
Answer: B
NEW QUESTION # 41
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