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Salesforce Data-Architect Certification is a highly sought-after certification that validates a professional's expertise in designing, building, and managing complex data architectures in Salesforce. Salesforce Certified Data Architect certification is designed to ensure that professionals have a deep understanding of the Salesforce platform's data model, data integration, and data management capabilities. The Salesforce Data-Architect certification is intended for professionals who work with large-scale data architectures and want to showcase their expertise in designing and managing them.

Salesforce Certified Data Architect certification is a highly sought-after certification for professionals who want to excel in their Salesforce career. Salesforce Certified Data Architect certification validates the skills required to design, implement, and maintain complex data solutions on the Salesforce platform. The Salesforce Certified Data Architect certification is a valuable asset for professionals who want to stand out in the competitive Salesforce job market.

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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 (Q105-Q110):

NEW QUESTION # 105
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:

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 # 106
Universal Containers keeps its Account data in Salesforce and its Invoice data in a third -party ERP system.
They have connected the Invoice data through a Salesforce external object. They want data from both Accounts and Invoices visible in one report in one place. What two approaches should an architect suggest for achieving this solution? Choose 2 answers

Answer: C,D

Explanation:
Creating a report in an external system combining Salesforce Account data and Invoice data from the ERP, and creating a Visualforce page combining Salesforce Account data and Invoice external object data are two approaches that an architect can suggest for achieving this solution. Both of these approaches can display data from both Accounts and Invoices in one place, using either an external reporting tool or a custom web page.
Creating a report combining data from the Account standard object and the Invoices external object is not possible because Salesforce does not support reporting on external objects. Creating a separate Salesforce report for Accounts and Invoices and combining them in a dashboard is not ideal because it will not show the data in one report, but rather in two separate components.


NEW QUESTION # 107
Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
A subnet of individuals from the finance team will need to access to the projects object for reporting and adjusting employee utilization.
The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?

Answer: B

Explanation:
The data architect should recommend Lighting platform plus license type for the finance team that best meets the requirements. This license type allows users to access custom objects and run reports and dashboards on them, without accessing any sales objects. Option A is incorrect because Service Cloud license type is more suitable for customer service users who need to access cases, knowledge, and other service objects. Option B is incorrect because Sales Cloud license type is more suitable for sales users who need to access accounts, contacts, opportunities, and other sales objects. Option C is incorrect because Light Platform Start license type does not allow users to run reports and dashboards on custom objects.


NEW QUESTION # 108
Universal Containers (UC) is facing data quality issues where Sales Reps are creating duplicate customer accounts, contacts, and leads. UC wants to fix this issue immediately by prompting users about a record that possibly exists in Salesforce. UC wants a report regarding duplicate records. What would be the recommended approach to help UC start immediately?

Answer: B

Explanation:
Creating a duplicate rule for account, lead, and contact, using standard matching rules for these objects, and setting the action to report and alert for both creates and edits can help UC fix the issue immediately by prompting users about a record that possibly exists in Salesforce. This can also generate a report regarding duplicate records that can be used for further analysis and resolution


NEW QUESTION # 109
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
Data will be used to drive marketing and product development initiatives.
NTO estimates that the program will generate 100 million rows of date monthly.
NTO will use Salesforce's Einstein Analytics and Discovery to leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?

Answer: B

Explanation:
According to the official Salesforce guide1, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery.
Option B is incorrect because Einstein cannot connect directly to the point of sales system to capture the reward program data. Option C is incorrect because Einstein Analytics does not support creating big objects.
Option D is incorrect because custom objects are not suitable for storing large volumes of data.


NEW QUESTION # 110
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