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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Governance, Quality and Security	15%	- Data governance framework 1. Policies, standards, ownership and stewardship - Data quality management 1. Profiling, monitoring, cleansing and enrichment - Data security and compliance 1. Access control, encryption, compliance and audit
Large Data Volumes and Performance	20%	- Storage and scalability planning 1. Data volume growth planning and storage limits - LDV architecture design 1. Data distribution, archiving and partitioning strategies - Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks
Master Data Management	5%	- Golden record and system of truth 1. Establishing single source of truth in single org - MDM implementation approaches 1. Canonical modeling and hierarchy management 2. Harmonization, consolidation, survivorship rules and thresholds
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
Data Integration	20%	- Data synchronization and consistency 1. Conflict resolution, data consistency and idempotency - 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 Migration	15%	- Migration execution and tools 1. Data loader, ETL tools and bulk API usage - Migration strategy and planning 1. Assessment, mapping, validation and rollback planning - Data quality and validation 1. Cleaning, deduplication and post-migration verification

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Salesforce Certified Platform Data Architect Sample Questions (Q277-Q282):

NEW QUESTION # 277
Which two statements are accurate with respect to performance testing a Force.com application?

A. Application performance benchmarked in a sandbox can also be expected in production.
B. All Force.com applications must be performance tested in a sandbox as well as production.
C. A performance test plan must be created and submitted to Salesforce customer support.
D. Applications with highly customized code or large volumes should be performance tested.

Answer: C,D

Explanation:
A performance test plan is required for any Force.com application that has highly customized code or large volumes of data. You need to create and submit a performance test plan to Salesforce customer support before conducting any performance testing in your sandbox or production org. Applications with highly customized code or large volumes of data should be performance tested to ensure they meet the expected response time and throughput

NEW QUESTION # 278
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage. Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?

A. Number of characters in report query.
B. Number of records returned by report query.
C. Number of queries running at a time.
D. Number of joins used in report query.

Answer: B,D

Explanation:
The number of joins used in report query and the number of records returned by report query are two key considerations to make sure the performance of the report is not degraded due to large data volume. The number of joins used in report query affects the complexity and execution time of the query, especially when joining multiple large objects. The number of records returned by report query affects the amount of data that needs to be processed and displayed by the report engine.

NEW QUESTION # 279
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 opportunity amount field access to read only for sales users using field level security.
B. Create a custom field for opportunity amount that PPS updates separating the field that sales user updates.
C. Create a custom field for opportunity amount that sales users update separating the fields that PPS updates.
D. Change PPS integration to update only opportunity amount fields when values is NULL.

Answer: A

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 # 280
Universal Containers (UC) has a custom discount request object set as a detail object with a custom product object as the master. There is a requirement to allow the creation of generic discount requests without the custom product object as its master record. What solution should an Architect recommend to UC?

A. Create a placeholder product record for the generic discount request.
B. Remove the master-detail relationship and keep the objects separate.
C. Mandate the selection of a custom product for each discount request.
D. Change the master-detail relationship to a lookup relationship.

Answer: D

Explanation:
Changing the master-detail relationship to a lookup relationship is the best solution for allowing the creation of generic discount requests without the custom product object as its master record.
A lookup relationship allows you to create child records without requiring a parent record. It also gives you more flexibility in defining the sharing and security settings for each object

NEW QUESTION # 281
Universal Containers has more than 10 million records in the Order_c object. The query has timed out when running a bulk query. What should be considered to resolve query timeout?

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

Answer: B

Explanation:
PK Chunking can resolve query timeout when running a bulk query on an object with more than
10 million records. PK Chunking is a feature of the Bulk API that splits a query into multiple batches based on the record IDs (primary keys) of the queried object. This can improve the query performance and avoid timeouts by reducing the number of records processed in each batch.

NEW QUESTION # 282
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