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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Master Data Management5%- 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
Data Modeling and Database Design25%- Object type selection
  • 1. Standard/custom objects vs Big Objects: use cases, pros and cons
- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification
- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
- Data model design for Customer 360
  • 1. Objects, fields, relationships and object features
  • 2. Scalable design aligned with security and sharing model
Data Integration20%- 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. Synchronous vs asynchronous, batch vs real-time
  • 2. APIs, middleware and external systems integration
Data Migration15%- 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
Data Governance, Quality and Security15%- Data security and compliance
  • 1. Access control, encryption, compliance and audit
- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
- Data governance framework
  • 1. Policies, standards, ownership and stewardship
Large Data Volumes and Performance20%- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies
- Storage and scalability planning
  • 1. Data volume growth planning and storage limits

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Salesforce Certified Platform Data Architect Sample Questions (Q218-Q223):

NEW QUESTION # 218
Which two aspects of data does an Enterprise data governance program aim to improve?

Answer: A,D

Explanation:
Data integrity and data usability are two aspects of data that an Enterprise data governance program aims to improve. Data integrity refers to the accuracy, consistency, and validity of the data across the enterprise. Data usability refers to the ease of access, analysis, and interpretation of the data by the end users


NEW QUESTION # 219
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?

Answer: D

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 # 220
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?

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 # 221
Universal Containers (UC) has three systems: Salesforce, a cloud -based ERP system, and an on - premise Order Management System (OMS). An architect has been tasked with creating a solution that uses Salesforce as the system of record for Leads and the OMS as the system of record for Account and Contacts. UC wants Accounts and Contacts to be able to maintain their names in each system (i.e., "John Doe" in the OMS and "Johnny Doe" in Salesforce), but wants to have a consolidated data store which links referenced records across the systems. What approach should an architect suggest so the requirements are met?

Answer: D

Explanation:
Implementing a Master Data Management strategy to reconcile Leads, Accounts, and Contacts is the approach that the architect should suggest so that the requirements are met for UC. A Master Data Management strategy can provide a consistent and unified view of data across multiple systems, by defining and enforcing rules for data quality, governance, and integration. A Master Data Management strategy can also handle complex scenarios where different systems have different systems of record for different entities or fields, and where data can be modified in different systems with different values. A Master Data Management strategy can also provide a consolidated data store that links referenced records across systems and enables cross-system reporting and analysis. The other options are not suitable or sufficient for meeting the requirements, as they would either not provide a consolidated data store, not handle different systems of record, or not allow data modification in different system


NEW QUESTION # 222
Universal Containers has a custom object with millions of rows of data. When executing SOQL queries, which three options prevent a query from being selective? (Choose three.)

Answer: A,B,D

Explanation:
Using leading % wildcards, performing large loads and deletions, and using NOT and != operators are three options that prevent a query from being selective. These options can cause the query to scan a large number of records or indexes, which can negatively impact the performance and scalability of the query. Using a custom index on a deterministic formula field, on the other hand, can improve the query selectivity by allowing the query to use the index instead of scanning all the records6.


NEW QUESTION # 223
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