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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Large Data Volumes	20%	- Describe the considerations for Large Data Volumes (LDV) - Describe the features and best practices for LDV - Describe the implications of LDV on data modeling
Topic 2: Data Migration	15%	- Describe the considerations for data migration - Describe the implications of data migration on data quality - Describe the tools and best practices for data migration
Topic 3: Data Governance	10%	- Describe the considerations for data quality - Describe the considerations for data classification - Describe the elements of a data governance framework
Topic 4: Data Modeling/Database Design	25%	- Explain the usage of external objects - Describe the implications of LDV on data modeling - Describe the options and considerations for Large Data Volumes (LDV) - Describe the considerations when designing a data model for Salesforce
Topic 5: Master Data Management	5%	- Describe the considerations for a Master Data Management strategy - Describe the methods for aligning data across systems
Topic 6: Salesforce Data Management	25%	- Describe the considerations for data governance - Describe the implications of LDV on data management - Describe the considerations for data migration - Describe the considerations for data archival

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Salesforce Certified Platform Data Architect Sample Questions (Q110-Q115):

NEW QUESTION # 110
Universal Containers (UC) is planning to move away from legacy CRM to Salesforce. As part of one-time data migration, UC will need to keep the original date when a contact was created in the legacy system. How should an Architect design the data migration solution to meet this requirement?

A. Create a new field on the Contact object to capture the Created Date. Hide the standard Created Date field using Field -Level Security.
B. Enable "Set Audit Fields" and assign the permission to the user loading the data for the duration of the migration.
C. Write an Apex trigger on the Contact object, before insert event to set the original value in a standard Created Date field.
D. After the data is migrated, perform an update on all records to set the original date in a standard Created Date field.

Answer: B

Explanation:
Enabling "Set Audit Fields" allows the user loading the data to set the value of the standard CreatedDate field to match the original date from the legacy system. This is a one-time permission that can be revoked after the migration is completed. The other options would either not work or require additional customization

NEW QUESTION # 111
DreamHouse Realty has 15 million records in the Order_c custom object. When running a bulk query, the query times out. What should be considered to address this issue?

A. Metadata API
B. PK Chunking
C. Streaming API
D. Tooling API

Answer: B

Explanation:
PK Chunking is a feature of the Bulk API that allows splitting a large query into smaller batches based on the primary key of the object. This can improve the performance and avoid query timeouts when querying large data sets

NEW QUESTION # 112
Universal Containers (UC) is launching an RFP to acquire a new accounting product available on AppExchange. UC is expecting to issue 5 million invoices per year, with each invoice containing an average of 10 line items. What should UC's Data Architect recommend to ensure scalability?

A. Ensure the account product vendor provides a sound data archiving strategy.
B. Ensure invoice line items simply reference existing Opportunity line items.
C. Ensure the account product vendor includes Wave Analytics in their offering.
D. Ensure the accounting product runs 100% natively on the Salesforce platform.

Answer: A

Explanation:
A sound data archiving strategy is essential for ensuring scalability and performance of any application that deals with large volumes of data. You need to consider factors like data retention policies, storage limits, backup and recovery options, and data access requirements when designing a data archiving solution. You can use tools like OwnBackup, Odaseva, or ArchiveIt to archive your data from Salesforce to external systems

NEW QUESTION # 113
Northern Trail Outfitters (NTO) wants to implement backup and restore for Salesforce data, Currently, it has data backup processes that runs weekly, which back up all Salesforce data to an enterprise data warehouse (EDW). NTO wants to move to daily backups and provide restore capability to avoid any data loss in case of outage. What should a data architect recommend for a daily backup and restore solution?

A. Use AppExchange package for backup and restore.
B. Use ETL for backup and restore from EDW.
C. Use Bulk API to extract data on daily basis to EDW and REST API for restore.
D. Change weekly backup process to daily backup, and implement a custom restore solution.

Answer: A

Explanation:
The data architect should recommend using AppExchange package for backup and restore.
AppExchange is a marketplace for Salesforce apps and solutions that can be installed and configured in Salesforce orgs. There are several AppExchange packages that provide backup and restore functionality for Salesforce data, such as OwnBackup, Odaseva, or Spanning. These packages can perform daily backups of Salesforce data to a secure cloud storage, and provide restore capability to avoid any data loss in case of outage.

NEW QUESTION # 114
Northern Trail Outfitters (NTO) wants to capture a list of customers that have bought a particular product. The solution architect has recommended to create a custom object for product, and to create a lookup relationship between its customers and its products.
Products will be modeled as a custom object (NTO_ Product__ c) and customers are modeled as person accounts. Every NTO product may have millions of customers looking up a single product, resulting in a lookup skew.
What should a data architect suggest to mitigate Issues related to lookup skew?

A. Create a custom object to maintain the relationship between products and customers.
B. Select Clear the value of this field option while configuring the lookup relationship.
C. Create multiple similar products and distribute the skew across those products.
D. Change the lookup relationship to master-detail relationship.

Answer: C

Explanation:
Creating multiple similar products and distributing the skew across those products can be a way to mitigate issues related to lookup skew. The article explains that lookup skew happens when a very large number of records are associated with a single record in the lookup object, and this can cause record locking and performance issues. The article suggests creating multiple copies of the same product record and assigning different child records to each copy, so that the number of child records per parent record is reduced.

NEW QUESTION # 115
......

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