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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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The field of Salesforce is growing rapidly and you need the Salesforce Data-Architect certification to advance your career in it. But clearing the Salesforce Certified Data Architect (Data-Architect) test is not an easy task. Applicants often don't have enough time to study for the Data-Architect Exam. They are in desperate need of real Salesforce Certified Data Architect (Data-Architect) exam questions which can help them prepare for the Salesforce Certified Data Architect (Data-Architect) test successfully in a short time.

Salesforce Data-Architect certification is designed for professionals who specialize in managing and designing complex data models, integrations, and analytics solutions within the Salesforce platform. Salesforce Certified Data Architect certification validates the expertise and knowledge of the Data-Architect in the Salesforce ecosystem, and it is recognized by employers worldwide.

Salesforce Data-Architect Exam is intended for professionals who have significant experience in data architecture and have completed other Salesforce certifications such as Salesforce Certified Technical Architect or Salesforce Certified Application Architect. Data-Architect Exam is designed to challenge candidates and test their knowledge and skills in a real-world scenario. Passing Data-Architect exam demonstrates a professional's ability to design and implement data solutions that meet business requirements and provide value to the organization.

Salesforce Certified Data Architect Sample Questions (Q117-Q122):

NEW QUESTION # 117
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

NEW QUESTION # 118
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 custom Visualforce report that is using a cache of the records in the report.
B. Improve reporting performance by replacing the existing reports in Sales Cloud with new reports based on Analytics Cloud.
C. Improve reporting performance by creating an Apex trigger for the Report object that will pre-fetch data before the report is run.
D. Improve reporting performance by creating a dashboard that is scheduled to run the reports only once per day.

Answer: B

NEW QUESTION # 119
Universal Container is using Salesforce for Opportunity management and enterprise resource planning (ERP) for order management. Sales reps do not have access to the ERP and have no visibility into order status.
What solution a data architect recommends to give the sales team visibility into order status?

A. Build batch jobs to push order line items to salesforce.
B. leverage Salesforce Connect top bring the order line item from the legacy system to Salesforce.
C. Leverage Canvas to bring the order management UI in to the Salesforce tab.
D. Build real-time integration to pull order line items into Salesforce when viewing orders.

Answer: B

Explanation:
The correct answer is C, leverage Salesforce Connect to bring the order line item from the legacy system to Salesforce. Salesforce Connect is a feature that allows you to integrate external data sources with Salesforce and access them in real time without copying or synchronizing the data. This way, the sales team can view the order status from the ERP system without having access to it. Leveraging Canvas, building batch jobs, or building real-time integration are also possible solutions, but they are more complex and costly than using Salesforce Connect.

NEW QUESTION # 120
UC has a variety of systems across its technology landscape, including SF, legacy enterprise resource planning (ERP) applications and homegrown CRM tools. UC has decided that they would like to consolidate all customer, opportunity and order data into Salesforce as part of its master data management (MDM) strategy.
What are the 3 key steps that a data architect should take when merging data from multiple systems into Salesforce? Choose 3 answers:

A. Create new fields to store additional values from all the systems.
B. Install a 3rd party AppExchange tool to handle the merger
C. Analyze each system's data model and perform gap analysis
D. Utilize an ETL tool to merge, transform and de-duplicate data.
E. Work with Stakeholders to define record and field survivorship rules

Answer: C,D,E

Explanation:
The three key steps that a data architect should take when merging data from multiple systems into Salesforce are:
Analyze each system's data model and perform gap analysis. This step involves understanding the structure and meaning of the data in each system, identifying the common and unique data elements, and mapping the data fields between the systems. This step also involves assessing the quality and consistency of the data, and identifying any data cleansing or transformation needs.
Utilize an ETL tool to merge, transform, and de-duplicate data. This step involves using an ETL tool to connect to the source systems, extract the data, apply any data transformations or validations, and load the data into Salesforce. This step also involves applying de-duplication rules or algorithms to avoid creating duplicate records in Salesforce.
Work with stakeholders to define record and field survivorship rules. This step involves collaborating with the business users and owners of the data to determine which records and fields should be retained or overwritten in case of conflicts or discrepancies. This step also involves defining the criteria and logic for record and field survivorship, and implementing them in the ETL tool or in Salesforce.
Creating new fields to store additional values from all the systems is not a key step, but rather a possible outcome of the gap analysis. It may not be necessary or desirable to create new fields for every value from every system, as it may result in redundant or irrelevant data. Installing a 3rd party AppExchange tool to handle the merger is not a key step, but rather a possible option for choosing an ETL tool. It may not be the best option depending on the requirements, budget, and preferences of the organization.

NEW QUESTION # 121
DreamHouse Realty has a Salesforce org that is used to manage Contacts.
What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)

A. Use the private sharing model.
B. Use workflow to delete duplicate records.
C. Use validation rules on new record create and edit.
D. Use Salesforce duplicate management.

Answer: C,D

NEW QUESTION # 122
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