Data-Architect New Practice Materials | Data-Architect Exam Revision Plan

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Salesforce Data-Architect certification is an essential certification for professionals who want to excel in their Salesforce career. Salesforce Certified Data Architect certification validates the skills and knowledge required to design and implement complex data solutions on the Salesforce platform. The Salesforce Data-Architect Certification is a valuable asset for professionals who want to stand out in the competitive Salesforce job market. If you want to excel in your Salesforce career, the Salesforce Data-Architect certification is a must-have certification.

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To become a Salesforce Certified Data Architect, candidates must pass the Data-Architect certification exam. Data-Architect exam is designed to test candidates on their ability to design and implement complex data models, integrate data from multiple sources, and ensure data quality and security. Candidates must have a deep understanding of Salesforce data architecture and data management best practices to Pass Data-Architect Exam.

Salesforce Certified Data Architect Sample Questions (Q70-Q75):

NEW QUESTION # 70
As part of a phased Salesforce rollout. there will be 3 deployments spread out over the year. The requirements have been carefully documented. Which two methods should an architect use to trace back configuration changes to the detailed requirements? Choose 2 answers

A. Put the business purpose in the Description of each field.
B. Use the Force.com IDE to save the metadata files in source control.
C. Review the setup audit trail for configuration changes.
D. Maintain a data dictionary with the justification for each field.

Answer: A,B

Explanation:
Option B is correct because putting the business purpose in the Description of each field is a method that an architect can use to trace back configuration changes to the detailed requirements1. The Description of each field provides a brief explanation of what the field is used for and why it is needed2. Option D is correct because using the Force.com IDE to save the metadata files in source control is another method that an architect can use to trace back configuration changes to the detailed requirements1. The Force.com IDE is an integrated development environment that allows developers to work with Salesforce metadata files and Apex code3. Source control is a system that tracks and manages changes to code and configuration files4. Option A is not correct because reviewing the setup audit trail for configuration changes is not a method to trace back configuration changes to the detailed requirements, but a way to monitor and audit the changes made in the setup area. Option C is not correct because maintaining a data dictionary with the justification for each field is not a method to trace back configuration changes to the detailed requirements, but a document that provides information about the data entities and attributes in a system.

NEW QUESTION # 71
Get Cloud Consulting needs to integrate two different systems with customer records into the Salesforce Account object. So that no duplicate records are created in Salesforce, Master Data Management will be used.
An Architect needs to determine which system is the system of record on a field level.
What should the Architect do to achieve this goal?

A. Master Data Management systems determine system of record, and the Architect doesn't have to think about what data is controlled by what system.
B. Any field that is an input field in either external system will be overwritten by the last record integrated and can never have a system of record.
C. Key stakeholders should review any fields that share the same purpose between systems to see how they will be used in Salesforce.
D. The database schema for each external system should be reviewed, and fields with different names should always be separate fields in Salesforce.

Answer: D

NEW QUESTION # 72
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system. How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?

A. Create a custom lookup filed on the standard Product to reference the child record in the hierarchy.
B. Create an Apex trigger to synchronize the Product Family standard picklist field on the Product object.
C. Create a custom master-detail field on the standard Product to reference the child record in the hierarchy.
D. Create a custom lookup field on the standard Product to reference the parent record in the hierarchy.

Answer: D

NEW QUESTION # 73
Universal Containers (UC) has built a custom application on Salesforce to help track shipments around the world. A majority of the shipping records are stored on premise in an external data source. UC needs shipment details to be exposed to the custom application, and the data needs to be accessible in real time. The external data source is not OData enabled, and UC does not own a middleware tool.
Which Salesforce Connect procedure should a data architect use to ensure UC's requirements are met?

A. Write a custom adapter with the Apex Connector Framework.
B. Write an Apex class that makes a REST callout to the external API.
C. Migrate the data to Heroku and register Postgres as a data source.
D. Develop a process that calls an inviable web service method.

Answer: A

NEW QUESTION # 74
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision-making. On analysis, the team the following issues with data entered in Salesforce.
Information in certain records is incomplete.
Incorrect entry in certain fields causes records to be excluded in report fitters.
Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?

A. Periodically export data to cleanse data and import them back into Salesforce for executive reports.
B. Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.
C. design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect
D. Explore third-party data providers to enrich and augment information entered in salesforce.
E. Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.

Answer: B,D,E

Explanation:
According to the Salesforce documentation3, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To address the issues with data quality that affect the reliability of executive dashboards, a data architect should recommend:
Building a sales data warehouse with purpose-built data marts for dashboards and senior management reporting (option B). This means creating a separate database or system that stores and organizes sales data from Salesforce and other sources for analytical purposes. A data warehouse can provide a single source of truth for sales data and enable faster and more accurate reporting and analysis. A data mart is a subset of a data warehouse that focuses on a specific subject or business area, such as sales performance, customer segmentation, product profitability, etc. A data mart can provide tailored and relevant data for different users or groups based on their needs and interests.
Exploring third-party data providers to enrich and augment information entered in Salesforce (option C).
This means using external services or tools that can validate, correct, update, and enhance the data that is entered or imported into Salesforce. This can help improve data quality and accuracy, and reduce data duplication and incompleteness.
Leveraging Salesforce features, such as validation rules, to avoid incomplete and incorrect records (option D). This means using features that allow defining rules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.
Periodically exporting data to cleanse data and import them back into Salesforce for executive reports (option A) is not a good solution, as it can be time-consuming, error-prone, and inefficient. It may also cause data inconsistency and synchronization issues between Salesforce and other systems. Designing and implementing data-quality dashboard to monitor and act on records that are incomplete or incorrect (option E) is also not a good solution, as it can be complex, costly, and difficult to maintain. It may also not address the root causes of data quality issues or prevent them from occurring in the first place.

NEW QUESTION # 75
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