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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Modeling and Database Design25%- 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
- 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
Topic 2: Large Data Volumes and Performance20%- 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 3: Data Migration15%- 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
Topic 4: 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
Topic 5: Data Integration20%- 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
- External data sources
  • 1. External Objects, OData and virtual data access
Topic 6: 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

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Individuals who pass the Salesforce Certified Platform Data Architect certification exam demonstrate to their employers and clients that they have the knowledge and skills necessary to succeed in the industry. ActualCollection is aware that preparing with outdated Plat-Arch-201 Study Material results in a loss of time and money.

Salesforce Certified Platform Data Architect Sample Questions (Q111-Q116):

NEW QUESTION # 111
NTO need to extract 50 million records from a custom object everyday from its Salesforce org.
NTO is facing query timeout issues while extracting these records. What should a data architect recommend in order to get around the time out issue?

Answer: B

Explanation:
The best solution to extract 50 million records from a custom object everyday from Salesforce org without facing query timeout issues is to use an ETL tool for extraction of records. ETL stands for extract, transform, and load, and it refers to a process of moving data from one system to another. An ETL tool is a software application that can connect to various data sources, perform data transformations, and load data into a target destination. ETL tools can handle large volumes of data efficiently and reliably, and they often provide features such as scheduling, monitoring, error handling, and logging. Using a custom auto number and formula field and use that to chunk records while extracting data is a possible workaround, but it requires creating additional fields and writing complex queries. The REST API can extract data as it automatically chunks records by 200, but it has some limitations, such as a maximum of 50 million records per query job.
Asking SF support to increase the query timeout value is not feasible because query timeout values are not configurable


NEW QUESTION # 112
Universal Containers has a public website with several forms that create Lead records in Salesforce using the REST API. When designing these forms, which two techniques will help maintain a high level of data quality?

Answer: A,B

Explanation:
Doing client-side validation of phone number and email field formats and preferring picklist form fields over free text fields, where possible, are two techniques that will help maintain a high level of data quality when designing forms that create Lead records in Salesforce using the REST API.
Client-side validation can ensure that the input data is in the correct format and prevent errors or invalid values from being submitted. Picklist form fields can provide a predefined set of values for the users to choose from and avoid typos or inconsistencies in the data.


NEW QUESTION # 113
Universal Containers (UC) is concerned that data is being corrupted daily either through negligence or maliciousness. They want to implement a backup strategy to help recover any corrupted data or data mistakenly changed or even deleted. What should the data architect consider when designing a field -level audit and recovery plan?

Answer: B

Explanation:
Option C is the best answer because reviewing projected data storage needs is an important step in designing a field-level audit and recovery plan. You need to estimate how much data storage you will need in the future and plan accordingly.


NEW QUESTION # 114
UC is preparing to implement sales cloud and would like to its users to have read only access to an account record if they have access to its child opportunity record. How would a data architect implement this sharing requirement between objects?

Answer: A

Explanation:
Implicit sharing will automatically handle this sharing requirement with standard functionality, as it grants read-only access to parent accounts when users have access to child opportunities. This is also known as account-opportunity sharing.


NEW QUESTION # 115
What is the best tool for analyzing SOQL query performance?

Answer: A

Explanation:
It shows cost, selectivity, and index usage.


NEW QUESTION # 116
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