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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Migration	15%	- Describe the tools and best practices for data migration - Describe the considerations for data migration - Describe the implications of data migration on data quality
Large Data Volumes	20%	- Describe the features and best practices for LDV - Describe the implications of LDV on data modeling - Describe the considerations for Large Data Volumes (LDV)
Master Data Management	5%	- Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems
Data Modeling/Database Design	25%	- Explain the usage of external objects - Describe the considerations when designing a data model for Salesforce - Describe the implications of LDV on data modeling - Describe the options and considerations for Large Data Volumes (LDV)
Data Governance	10%	- Describe the elements of a data governance framework - Describe the considerations for data quality - Describe the considerations for data classification
Salesforce Data Management	25%	- Describe the considerations for data archival - Describe the considerations for data governance - Describe the considerations for data migration - Describe the implications of LDV on data management

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Salesforce Certified Platform Data Architect Sample Questions (Q25-Q30):

NEW QUESTION # 25
Universal Containers (UC) needs to move millions of records from an external enterprise resource planning (ERP) system into Salesforce. What should a data architect recommend to be done while using the Bulk API in serial mode instead of parallel mode?

A. Leveraging a controlled feed load with 10 batches per job.
B. Inserting 1 million orders distributed across a variety of accounts with lock exceptions eliminated and managed.
C. Inserting 1 million orders distributed across a variety of accounts with potential lock exceptions.
D. Placing 20 batches on the queue for upset jobs.

Answer: C

Explanation:
According to this article, inserting 1 million orders distributed across a variety of accounts with potential lock exceptions is a scenario where using the Bulk API in serial mode can help to prevent the lock contention issue that can occur in parallel mode.

NEW QUESTION # 26
Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answer

A. Org data storage limitations.
B. Limitations on master -detail relationships.
C. Standard list view in -line editing.
D. Bulk API limitations on picklist fields.

Answer: C,D

Explanation:
When denormalizing a data model into a single object with a picklist field, the data architect should consider the Bulk API limitations on picklist fields and the standard list view in-line editing.
The Bulk API has a limit of 1,000 distinct picklist values per file, which could be an issue if there are more than 1,000 venues in the future. The standard list view in-line editing allows users to edit multiple records at once, which could introduce data quality issues if the venue picklist is not validated or restricted. The other options are not relevant to denormalizing a data model.

NEW QUESTION # 27
Universal Containers (UC) has deployed Salesforce to manage Marketing. Sales, and Support efforts in a multi-system ERP environment After reaching the limits of native reports & dashboards. UC leadership is looking to understand what options can be used to provide more analytical insights. What two approaches should an architect recommend? Choose 2 answer

A. Wave Analytics
B. AppExchange Apps
C. Setup Audit Trails
D. Weekly Snapshots

Answer: A,B

Explanation:
According to the exam guide, one of the objectives is to "describe the use cases and considerations for using AppExchange apps and Wave Analytics". This implies that options A and B are both valid approaches to provide more analytical insights.

NEW QUESTION # 28
Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce. Which solution should a data architect recommend as an archiving solution?

A. Build a batch join move all records off platform, and delete all records from Salesforce.
B. Use a third-party backup solution to backup all data off platform.
C. Build a batch job to move all restore off platform, and delete old records from Salesforce.
D. Build a batch join to move two-year-old records off platform, and delete records from Salesforce.

Answer: D

Explanation:
The data architect should recommend building a batch job to move two-year-old records off platform, and delete records from Salesforce as an archiving solution. A batch job is a process that runs in the background and performs operations on large volumes of data in Salesforce. By building a batch job that moves two-year-old records off platform to an external storage system, such as Amazon S3 or Google Cloud Storage, and deletes them from Salesforce, the data architect can reduce the storage consumption and improve the performance of Salesforce org.

NEW QUESTION # 29
What is a benefit of archiving data?

A. Slower queries
B. More duplicate records
C. Improved system performance
D. Increased storage usage

Answer: C

Explanation:
Reducing active data improves performance.

NEW QUESTION # 30
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