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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Migration	15%	- Migration strategy and planning 1. Assessment, mapping, validation and rollback planning - Data quality and validation 1. Cleaning, deduplication and post-migration verification - Migration execution and tools 1. Data loader, ETL tools and bulk API usage
Topic 2: Master Data Management	5%	- Golden record and system of truth 1. Establishing single source of truth in single org - MDM implementation approaches 1. Harmonization, consolidation, survivorship rules and thresholds 2. Canonical modeling and hierarchy management
Topic 3: Data Governance, Quality and Security	15%	- Data security and compliance 1. Access control, encryption, compliance and audit - Data governance framework 1. Policies, standards, ownership and stewardship - Data quality management 1. Profiling, monitoring, cleansing and enrichment
Topic 4: Data Integration	20%	- External data sources 1. External Objects, OData and virtual data access - Integration patterns and technologies 1. APIs, middleware and external systems integration 2. Synchronous vs asynchronous, batch vs real-time - Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency
Topic 5: Large Data Volumes and Performance	20%	- LDV architecture design 1. Data distribution, archiving and partitioning strategies - Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks - Storage and scalability planning 1. Data volume growth planning and storage limits
Topic 6: Data Modeling and Database Design	25%	- Data skew prevention 1. Avoid record locking, sharing issues and excessive parent-child relationships - Metadata management 1. Business dictionary, data lineage, taxonomy and classification - Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons - Data model design for Customer 360 1. Objects, fields, relationships and object features 2. Scalable design aligned with security and sharing model

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Salesforce Certified Platform Data Architect Sample Questions (Q234-Q239):

NEW QUESTION # 234
What is a benefit of archiving data?

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

Answer: B

Explanation:
Reducing active data improves performance.

NEW QUESTION # 235
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 answer

A. Export data out of salesforce and store in Flat files on external system.
B. Leverage on premise data archival and build integration to view archived data.
C. Create a custom object to store case history and run reports on it.
D. Leverage big object to archive case data and lightning components to show archived data.

Answer: B,D

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.

NEW QUESTION # 236
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 # 237
Universal Containers has 30 million case records. The Case object has 80 fields. Agents are reporting reports in the Salesforce org. Which solution should a data architect recommend to improve reporting performance?

A. Move data off of the platform and run reporting outside Salesforce, and give access to reports.
B. Create a custom object to store aggregate data and run reports.
C. Build reports using custom Lightning components.
D. Contact Salesforce support to enable skinny table for cases.

Answer: A

NEW QUESTION # 238
Northern Trail Outfitters needs to implement an archive solution for Salesforce data. 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. Create a full copy sandbox, and use it as a source for retaining archived data.
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. 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 # 239
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