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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Architect |
| Exam Number: | Data-Architect |
| Exam Duration: | 105 minutes |
| Certificate Validity Period: | 3 years |
| Passing Score: | 58% |
| Exam Price: | $400 USD (first attempt), $200 USD (retake) |
| Exam Format: | Multiple-select, Multiple-choice, Scenario-based questions |
| Real Exam Qty: | 60 |
| Related Certifications: | Salesforce Certified System Architect Salesforce Certified Application Architect |
| Available Languages: | Simplified Chinese, English, Korean, Japanese |
| Recommended Training: | Salesforce Architect Documentation Salesforce Trailhead - Data Architect Trailmix |
| Exam Registration: | Webassessor Registration Salesforce Certification Portal |
| Sample Questions: | Salesforce Data-Architect Sample Questions |
| Exam Way: | Online proctored or onsite at Kryterion testing centers |
| Pre Condition: | No mandatory prerequisites; recommended 2–3 years of experience in Salesforce data architecture, modeling, and management |
| Official Syllabus URL: | https://www.salesforce.com/certifications/architect/data-architect/ |
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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.
NEW QUESTION # 111
NTO uses salesforce to manage relationships and track sales opportunities. It has 10 million customers and 100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error.
Which 3 options should help improve the dashboard performance?
Choose 3 answers:
Answer: A,D,E
NEW QUESTION # 112
A Salesforce customer has plenty of data storage. Sales Reps are complaining that searches are bringing back old records that aren't relevant any longer. Sales Managers need the data for their historical reporting. What strategy should a data architect use to ensure a better user experience for the Sales Reps?
Answer: A
Explanation:
Archiving and purging old data from Salesforce on a monthly basis is a good strategy to improve the user experience for the Sales Reps, as it will reduce the clutter and improve the search performance. Creating a permission set or setting data access to private are not effective ways to hide old data from Sales Reps, as they will still consume data storage and affect search results. Using Batch Apex to archive old data on a rolling nightly basis is also not a good option, as it will consume API requests and processing time, and may not comply with the data retention policy.
NEW QUESTION # 113
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?
Answer: D
Explanation:
Implicit sharing will automatically handle this sharing requirement with standard functionality, as it grants read-only access to parent accounts when users have access to child opportunities. This is also known as account-opportunity sharing3. Creating a criteria-based sharing rule (option A) or an owner-based sharing rule (option D) is not necessary, as they are used to grant additional access based on record criteria or ownership. Adding appropriate users to the account team (option C) is also not required, as it is used to grant access to specific users or groups for individual accounts.
NEW QUESTION # 114
Universals Containers' system administrators have been complaining that they are not able to make changes to its users' record, including moving them to new territories without getting "unable to lock row" errors. This is causing the system admins to spend hours updating user records every day.
What should the data architect do to prevent the error?
Answer: B
NEW QUESTION # 115
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?
Answer: A,C
Explanation:
According to the Salesforce documentation1, 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 mitigate data quality issues, some of the recommended solutions are:
Leverage picklist and lookup fields where possible (option A). This means using fields that restrict the values or references that can be entered by the users or integrations. This can help reduce data entry errors, enforce data consistency, and improve data accuracy.
Leverage validation rules and workflows (option C). 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.
Leveraging Apex to validate the format of data being entered via a mobile device (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It is better to use standard features or declarative tools that can handle data validation more effectively. Leveraging third-party AppExchange tools (option D) is also not a good solution, as it can incur additional costs and dependencies. It is better to use native Salesforce features or custom solutions that can handle data quality more efficiently.
NEW QUESTION # 116
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