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Salesforce Plat-Arch-201 Exam Syllabus Topics:

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

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Salesforce Certified Platform Data Architect Sample Questions (Q266-Q271):

NEW QUESTION # 266
Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org. UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org. Which three recommendations should a data architect make is order to reduce the number of records from the org? Choose 3 answer

A. Use Rest API to permanently delete records from the Salesforce org.
B. Use hard delete in Bulk API to permanently delete records from Salesforce.
C. Use hard delete in batch Apex to permanently delete records from Salesforce.
D. Archive the records in enterprise data warehouse (EDW) before deleting from Salesforce.
E. Identify records in objects that have not been modified or used In last 3 years.

Answer: B,D,E

Explanation:
Using hard delete in Bulk API, identifying records that have not been modified or used in last 3 years, and archiving the records in EDW before deleting from Salesforce are all good recommendations to reduce the number of records from the org. Using hard delete in batch Apex or Rest API may not be as efficient or scalable as Bulk API

NEW QUESTION # 267
Universal Containers has received complaints that customers are being called by multiple Sales Reps where the second Sales Rep that calls is unaware of the previous call by their coworker.
What is a data quality problem that could cause this?

A. Customer phone number has changed on the Contact record.
B. Missing phone number on the Contact record.
C. Duplicate Contact records exist in the system.
D. Duplicate Activity records on a Contact.

Answer: C

Explanation:
A data quality problem that could cause customers to be called by multiple Sales Reps is having duplicate Contact records in the system. Duplicate records can result from data entry errors, data imports, or integrations with other systems. Duplicate records can lead to confusion, inefficiency, and customer dissatisfaction.

NEW QUESTION # 268
Universal Containers (UC) wants to store product data in Salesforce, but the standard Product object does not support the more complex hierarchical structure which is currently being used in the product master system. How can UC modify the standard Product object model to support a hierarchical data structure in order to synchronize product data from the source system to Salesforce?

A. Create an Apex trigger to synchronize the Product Family standard picklist field on the Product object.
B. Create a custom master-detail field on the standard Product to reference the child record in the hierarchy.
C. Create a custom lookup field on the standard Product to reference the parent record in the hierarchy.
D. Create a custom lookup filed on the standard Product to reference the child record in the hierarchy.

Answer: C

Explanation:
Creating a custom lookup field on the standard Product to reference the parent record in the hierarchy is the correct way to modify the standard Product object model to support a hierarchical data structure. This allows UC to create a self-relationship on the Product object and define parent-child relationships among products.

NEW QUESTION # 269
Universal Containers (UC) has a Salesforce instance with over 10.000 Account records. They have noticed similar, but not identical. Account names and addresses. What should UC do to ensure proper data quality?

A. Run a report, find Accounts whose name starts with the same five characters, then merge those Accounts.
B. Make the Account Owner clean their Accounts' addresses, then merge Accounts with the same address.
C. Enable Account de -duplication by creating matching rules in Salesforce, which will mass merge duplicate Accounts.
D. Use a service to standardize Account addresses, then use a 3rd -party tool to merge Accounts based on rules.

Answer: C

Explanation:
Enabling Account de-duplication by creating matching rules in Salesforce, which will mass merge duplicate Accounts, is what UC should do to ensure proper data quality for their Account records.
Matching rules allow UC to define how Salesforce identifies duplicate Accounts based on various criteria, such as name, address, phone number, etc. Mass merge allows UC to merge up to 200 duplicate Accounts at a time, based on the matching rules. This simplifies and automates the process of de-duplicating Accounts and improves data quality. The other options are either more time-consuming, costly, or error-prone for ensuring proper data quality.

NEW QUESTION # 270
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. 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.
C. Identify a location to store archived data and use scheduled batch jobs to migrate and purge the aged data on a nightly basis,
D. Identify a location to store archived data, and move data to the location using a time-based workflow.

Answer: C

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 # 271
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