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Salesforce Data-Architect Exam is a challenging exam that requires a significant amount of preparation and study. To pass the exam, individuals need to have a deep understanding of the Salesforce platform, its data-related features, and best practices for designing and implementing data solutions. Data-Architect exam is composed of multiple-choice questions and scenarios, and individuals have three hours to complete it. Once an individual passes the exam, they will become a Salesforce Certified Data Architect, which is a valuable certification that demonstrates expertise in data architecture on the Salesforce platform.
Salesforce Data-Architect Certification Exam is designed to validate the skills and knowledge required to design and implement data architecture and management strategies on the Salesforce platform. It is a highly sought-after certification for professionals who work with Salesforce data and have expertise in data modeling, data integration, data migration, and data governance. Data-Architect Exam is intended for those who have a deep understanding of the Salesforce platform and can create innovative solutions to complex business problems.
Salesforce Data-Architect (Salesforce Certified Data Architect) Certification Exam is one of the most sought-after certifications in the Salesforce ecosystem. It is designed to validate the knowledge and skills of professionals who work with Salesforce data architecture. Salesforce Certified Data Architect certification exam is intended for architects, developers, and administrators who are responsible for designing, building, and managing Salesforce data architecture solutions.
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Salesforce Certified Data Architect Sample Questions (Q126-Q131):
NEW QUESTION # 126
Universal Containers is planning out their archiving and purging plans going forward for their custom objects Topic__c and Comment__c. Several options are being considered, including analytics snapshots, offsite storage, scheduled purges, etc. Which three questions should be considered when designing an appropriate archiving strategy?
- A. If reporting is necessary, can the information be aggregated into fewer, summary records?
- B. Are there any regulatory restrictions that will influence the archiving and purging plans?
- C. Which profiles and users currently have access to these custom object records?
- D. How many fields are defined on the custom objects that need to be archived?
- E. Will the data being archived need to be reported on or accessed in any way in the future?
Answer: A,B,E
Explanation:
The three questions that should be considered when designing an appropriate archiving strategy are: If reporting is necessary, can the information be aggregated into fewer, summary records? Will the data being archived need to be reported on or accessed in any way in the future? Are there any regulatory restrictions that will influence the archiving and purging plans? These questions are important because they help determine the scope, frequency, and method of archiving and purging data from Salesforce. For example, if reporting is necessary, then summary records or analytics snapshots can be used to store aggregated data and reduce the number of records that need to be archived1. If the data being archived needs to be accessed in the future, then offsite storage or external objects can be used to retain the data and make it available on demand2. If there are any regulatory restrictions, such as GDPR or HIPAA, then the archiving and purging plans need to comply with them and ensure data security and privacy
NEW QUESTION # 127
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose 23 answers:
- A. Ensure the data is CRM center and able to populate standard of custom objects.
- B. Ensure there is a tight relationship between order data and an enterprise resource plaining (ERP) application.
- C. Consider whether the data is required for sales reports, dashboards and KPI's.
- D. A selection of the tool required to replicate the data.
- E. Determine if the data is driver of key process implemented within salesforce.
Answer: B,D,E
Explanation:
a. - Heroku Connect is required but this is confusing
Explanation:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce
NEW QUESTION # 128
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. Identify a location to store archived data and use scheduled batch jobs to migrate and purge the aged data on a nightly basis,
- B. Identify a location to store archived data, and move data to the location using a time-based workflow.
- C. 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.
- D. Create a full copy sandbox, and use it as a source for retaining archived data.
Answer: A
NEW QUESTION # 129
Universal Containers is exporting 40 million Account records from Salesforce using Informatica Cloud. The ETL tool fails and the query log indicates a full table scan time-out failure. What is the recommended solution?
- A. Modify the export query that includes standard index fields(s).
- B. Modify the export job header to specify Export-in-Parallel.
- C. Modify the export job header to specify Sforce-Enable-PKChunking.
- D. Modify the export query with LIMIT clause with Batch size 10,000.
Answer: C
NEW QUESTION # 130
UC is having issues using Informatica Cloud Louder to export +10MOrder records. Each Order record has 10 Order Line Items. What two steps can you take to help correct this? Choose two answers.
- A. Use PK Chunking
- B. Export in multiple batches
- C. Export Bulk API in parallel mode
- D. Limit Batch to 10K records
Answer: A,B
Explanation:
Exporting in multiple batches and using PK Chunking are two steps that can help correct the issues with exporting large volumes of Order records using Informatica Cloud Loader. Exporting in multiple batches can reduce the load on the system and avoid timeouts or errors. Using PK Chunking can split a large data set into smaller chunks based on the record IDs and enable parallel processing of each chunk.
NEW QUESTION # 131
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