NEWEST EXAM DATA-ARCHITECT TUTORIALS BY TESTBRAINDUMP

Newest Exam Data-Architect Tutorials by TestBraindump

Newest Exam Data-Architect Tutorials by TestBraindump

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Salesforce Certified Data Architect Sample Questions (Q171-Q176):

NEW QUESTION # 171
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. Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.
  • B. Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.
  • C. Explore third-party data providers to enrich and augment information entered in salesforce.
  • D. design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect
  • E. Periodically export data to cleanse data and import them back into Salesforce for executive reports.

Answer: A,B,C

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 # 172
An architect has been asked to provide error messages when a future date is detected in a custom Birthdate _c field on the Contact object. The client wants the ability to translate the error messages. What are two approaches the architect should use to achieve this solution? Choose 2 answers

  • A. Create a validation rule and translate the error message with translation workbench.
  • B. Create a workflow field update to set the standard ErrorMessage field.
  • C. Implement a third -party validation process with translate functionality.
  • D. Create a trigger on Contact and add an error to the record with a custom label.

Answer: A,D

Explanation:
Creating a trigger on Contact and adding an error to the record with a custom label allows the architect to use the translation workbench to translate the error message based on the user's language. Creating a validation rule and translating the error message with translation workbench also achieves the same result. The other options would either not provide translation functionality or not display an error message


NEW QUESTION # 173
Universal Containers has received complaints that customers are being called by multiple Sales Reps where the second Sales Rep that calls is unaware of the previous call by their coworker. What is a data quality problem that could cause this?

  • A. Duplicate Contact records exist in the system.
  • B. Customer phone number has changed on the Contact record.
  • C. Missing phone number on the Contact record.
  • D. Duplicate Activity records on a Contact.

Answer: A


NEW QUESTION # 174
UC is preparing to implement sales cloud and would like to its users to have read only access to an account record if they have access to its child opportunity record. How would a data architect implement this sharing requirement between objects?

  • A. Create an owner-based sharing rule.
  • B. Create a criteria-based sharing rule.
  • C. Add appropriate users to the account team.
  • D. Implicit sharing will automatically handle with standard functionality.

Answer: D


NEW QUESTION # 175
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:

  • A. Use Big objects for cases older than 2 years, and use nightly batch to move them.
  • B. Sync cases older than 2 years to an external database, and provide access to Service agents to the database
  • C. Use custom objects for cases older than 2 years and use nightly batch to move them.
  • D. Use Heroku and external objects to display cases older than 2 years and bulk API to hard delete from Salesforce.

Answer: A,D

Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.


NEW QUESTION # 176
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