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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Master Data Management	5%	- MDM implementation approaches 1. Harmonization, consolidation, survivorship rules and thresholds 2. Canonical modeling and hierarchy management - Golden record and system of truth 1. Establishing single source of truth in single org
Topic 2: Data Modeling and Database Design	25%	- Metadata management 1. Business dictionary, data lineage, taxonomy and classification - Data model design for Customer 360 1. Objects, fields, relationships and object features 2. Scalable design aligned with security and sharing model - Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons - Data skew prevention 1. Avoid record locking, sharing issues and excessive parent-child relationships
Topic 3: 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 4: Data Governance, Quality and Security	15%	- Data governance framework 1. Policies, standards, ownership and stewardship - Data security and compliance 1. Access control, encryption, compliance and audit - Data quality management 1. Profiling, monitoring, cleansing and enrichment
Topic 5: 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
Topic 6: 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. APIs, middleware and external systems integration 2. Synchronous vs asynchronous, batch vs real-time

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Salesforce Certified Platform Data Architect Sample Questions (Q54-Q59):

NEW QUESTION # 54
Universal Containers (UC) has implemented a master data management strategy, which uses a central system of truth, to ensure the entire company has the same customer information in all systems. UC customer data changes need to be accurate at all times in all of the systems.
Salesforce is the identified system of record for this information. What is the correct solution for ensuring all systems using customer data are kept up to date?

A. Send customer record changes from Salesforce to each system in a nightly batch job.
B. Send customer data nightly to the system of truth in a scheduled batch job.
C. Send customer record changes from Salesforce to the system of truth in real time.
D. Have each system pull the record changes from Salesforce using change data capture.

Answer: D

Explanation:
Having each system pull the record changes from Salesforce using change data capture (option D) is the correct solution for ensuring all systems using customer data are kept up to date, as it allows the systems to subscribe to real-time events from Salesforce and receive notifications when customer records are created, updated, deleted, or undeleted.

NEW QUESTION # 55
NTO has implemented salesforce for its sales users. The opportunity management in salesforce is implemented as follows:
1. Sales users enter their opportunities in salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update opportunity amount field on opportunities on a daily basis.
3. PPS is the trusted source within the NTO for opportunity amount.
4. NTO uses opportunity forecast for its sales planning and management.
Sales users have noticed that their updates to the opportunity amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overriding issue?

A. Change PPS integration to update only opportunity amount fields when values is NULL.
B. Change opportunity amount field access to read only for sales users using field level security.
C. Create a custom field for opportunity amount that sales users update separating the fields that PPS updates.
D. Create a custom field for opportunity amount that PPS updates separating the field that sales user updates.

Answer: B

Explanation:
Changing the opportunity amount field access to read only for sales users using field level security is the best way to address the overriding issue. This way, the sales users can still view the opportunity amount field but cannot edit it, and PPS can update it as the trusted source

NEW QUESTION # 56
Universal Containers (UC) has an Application custom object, which has tens of millions of records created in the past 5 years. UC needs the last 5 years of data to exist in Salesforce at all times for reporting and queries. UC is currently encountering performance issues when reporting and running queries on this Object using date ranges as filters. Which two options can be used to improve report performance?

A. Ask support to create a skinny table for Application with the necessary reporting fields.
B. Run multiple reports to get different pieces of the data and combine them.
C. Add custom indexes to all fields on Application without a standard index.
D. Add custom indexes to the Date fields used for filtering the report.

Answer: A,D

Explanation:
Ask support to create a skinny table for Application with the necessary reporting fields. This is an option that can improve report performance by creating a custom table that contains frequently used fields and copies their values from standard or custom objects. Skinny tables are kept in sync with their source tables and are used in place of them for reports and queries. Add custom indexes to the Date fields used for filtering the report. This is another option that can improve report performance by creating custom indexes on fields that are often used as filters or join conditions in reports and queries. Custom indexes can speed up data retrieval and reduce query execution time

NEW QUESTION # 57
UC has been using SF for 10 years. Lately, users have noticed, that the pages load slowly when viewing Customer and Account list view. To mitigate, UC will implement a data archive strategy to reduce the amount of data actively loaded. Which 2 tasks are required to define the strategy?
Choose 2 answer

A. Identify the recovery time objective.
B. Identify how the archive data will be accessed and used.
C. Identify the data retention requirements
D. Identify the recovery point objective.

Answer: B,C

Explanation:
The two tasks required to define the data archive strategy are to identify how the archive data will be accessed and used, and identify the data retention requirements. Data archiving is the process of moving infrequently used or historical data from active storage to a separate storage location for long-term retention. Data archiving can improve performance, reduce storage costs, and comply with legal or regulatory obligations. To define a data archive strategy, a data architect needs to consider how the archived data will be accessed and used by different users or processes in Salesforce or outside Salesforce, and how long the archived data needs to be retained based on business or legal requirements.

NEW QUESTION # 58
Universal Containers has millions of rows of data in Salesforce that are being used in reports to evaluate historical trends. Performance has become an issue, as well as data storage limits.
Which two strategies should be recommended when talking with stakeholders?

A. Use scheduled batch Apex to copy aggregate information into a custom object and delete the original records.
B. Combine Analytics Snapshots with a purging plan by reporting on the snapshot data and deleting the original records.
C. Use Data Loader to extract data, aggregate it, and write it back to a custom object, then delete the original records.
D. Configure the Salesforce Archiving feature to archive older records and remove them from the data storage limits.

Answer: A,D

Explanation:
Using scheduled batch Apex to copy aggregate information into a custom object and delete the original records can improve the performance and reduce the data storage limits by removing unnecessary data and keeping only the summary data that is needed for reporting. Configuring the Salesforce Archiving feature to archive older records and remove them from the data storage limits can also help with performance and storage issues by moving historical data to a separate system that is still accessible but does not affect the operational data

NEW QUESTION # 59
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