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Pass Guaranteed Accurate Salesforce - Data-Architect - Salesforce Certified Data
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Salesforce Data-Architect Certification Exam is designed for professionals who want to demonstrate their skills and knowledge in designing and implementing effective data solutions with Salesforce. Salesforce Certified Data Architect certification is aimed at individuals who have experience in designing and implementing data architecture solutions using Salesforce technologies. Data-Architect Exam Tests the candidate's understanding of data modeling, data integration, data security, data governance, and data management principles.
Salesforce Certified Data Architect Sample Questions (Q113-Q118):NEW QUESTION # 113
UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance and storage issues?
Choose 2 answers:
- A. Leverage on premise data archival and build integration to view archived data.
- B. Export data out of salesforce and store in Flat files on external system.
- C. Leverage big object to archive case data and lightning components to show archived data.
- D. Create a custom object to store case history and run reports on it.
Answer: A,C
Explanation:
The correct answer is C and D. To minimize performance and storage issues, a data architect should recommend leveraging on premise data archival and building integration to view archived data, and leveraging big object to archive case data and lightning components to show archived data. These solutions will allow some user groups to access historical cases for up to 7 years without consuming too much storage space or affecting the performance of queries and reports. Option A is incorrect because exporting data out of salesforce and storing it in flat files on external system will make it difficult to access and query the data. Option B is incorrect because creating a custom object to store case history and run reports on it will still consume a lot of storage space and impact the performance of queries and reports.
NEW QUESTION # 114
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. Analyze each system's data model and perform gap analysis
- B. Work with Stakeholders to define record and field survivorship rules
- C. Create new fields to store additional values from all the systems.
- D. Install a 3rd party AppExchange tool to handle the merger
- E. Utilize an ETL tool to merge, transform and de-duplicate data.
Answer: A,B,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 # 115
A data architect has been tasked with optimizing a data stewardship engagement for a Salesforce instance Which three areas of Salesforce should the architect review before proposing any design recommendation? Choose 3 answers
- A. Review the sharing model to determine impact on duplicate records.
- B. Review the metadata xml files for redundant fields to consolidate.
- C. Run key reports to determine what fields should be required.
- D. Export the setup audit trail to review what fields are being used.
- E. Determine if any integration points create records in Salesforce.
Answer: A,B,C
NEW QUESTION # 116
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 trigger on Contact and add an error to the record with a custom label.
- C. Create a workflow field update to set the standard ErrorMessage field.
- D. Implement a third -party validation process with translate functionality.
Answer: A,B
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 # 117
Northern Trail Outfitters needs to implement an archive solution for Salesforce dat a. This archive solution needs to help NTO do the following:
1. Remove outdated Information not required on a day-to-day basis.
2. Improve Salesforce performance.
Which solution should be used to meet these requirements?
- A. Use a formula field that shows true when a record reaches a defined age and use that field to run a report and export a report into SharePoint.
- B. Create a full copy sandbox, and use it as a source for retaining archived data.
- C. Identify a location to store archived data, and move data to the location using a time-based workflow.
- D. Identify a location to store archived data and use scheduled batch jobs to migrate and purge the aged data on a nightly basis,
Answer: D
Explanation:
Identifying a location to store archived data and using scheduled batch jobs to migrate and purge the aged data on a nightly basis can be a way to meet the requirements for an archive solution. The article provides a use case of how to use Heroku Connect, Postgres, and Salesforce Connect to archive old data, free up space in the org, and still retain the option to unarchive the data if needed. The article also explains how this solution can improve Salesforce performance and meet data retention policies.
NEW QUESTION # 118
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Before starting the Salesforce Data-Architect preparation, plan the amount of time you will allot to each topic, determine the topics that demand more effort and prioritize the components that possess more weightage in the Salesforce Data-Architect Exam. This kind of polished approach is beneficial for a commendable grade in the Salesforce Data-Architect Exam.
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