Free Salesforce Certified Platform Data Architect vce dumps & latest Plat-Arch-201 examcollection dumps

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
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
Data Integration20%- 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
- Data synchronization and consistency
  • 1. Conflict resolution, data consistency and idempotency
Data Governance, Quality and Security15%- 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 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. Scalable design aligned with security and sharing model
  • 2. Objects, fields, relationships and object features
Master Data Management5%- Golden record and system of truth
  • 1. Establishing single source of truth in single org
- MDM implementation approaches
  • 1. Harmonization, consolidation, survivorship rules and thresholds
  • 2. Canonical modeling and hierarchy management
Large Data Volumes and Performance20%- LDV architecture design
  • 1. Data distribution, archiving and partitioning strategies
- Query and performance optimization
  • 1. Indexing, selective queries and avoiding performance bottlenecks
- Storage and scalability planning
  • 1. Data volume growth planning and storage limits

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Salesforce Certified Platform Data Architect Sample Questions (Q106-Q111):

NEW QUESTION # 106
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?

Answer: A,C

Explanation:
According to the Salesforce documentation, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To mitigate data quality issues, some of the recommended solutions are:
Leverage picklist and lookup fields where possible (option A). This means using fields that restrict the values or references that can be entered by the users or integrations. This can help reduce data entry errors, enforce data consistency, and improve data accuracy.
Leverage validation rules and workflows (option C). This means using features that allow defining ules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.


NEW QUESTION # 107
A company has 12 million records, and a nightly integration queries these records. Which two areas should a Data Architect investigate during troubleshooting if queries are timing out?
(Choose two.)

Answer: B,C

Explanation:
Making sure the query does not contain NULL in any filter criteria can avoid full table scans and leverage indexes more efficiently. Queries with NULL filters are not selective and can cause performance issues. Creating custom indexes on the fields used in the filter criteria can also enhance the query performance by reducing the number of records to scan.


NEW QUESTION # 108
Universal Containers is looking to use Salesforce to manage their sales organization. They will be migrating legacy account data from two aging systems into Salesforce. Which two design considerations should an architect take to minimize data duplication? Choose 2 answer

Answer: B,C

Explanation:
Cleaning data before importing to Salesforce and using Salesforce matching and duplicate rules are two design considerations that an architect should take to minimize data duplication when migrating legacy account data from two aging systems into Salesforce. Cleaning data before importing involves removing or correcting any inaccurate, incomplete, or inconsistent data from the source systems, as well as identifying and resolving any potential duplicates. This ensures that only high-quality and unique data is imported to Salesforce. Using Salesforce matching and duplicate rules allows the architect to define how Salesforce identifies duplicate records during import and how users can handle them. This prevents or reduces the creation of duplicate records in Salesforce and improves data quality. The other options are not effective or recommended for minimizing data duplication.


NEW QUESTION # 109
Northern Trail Outfitters (NTO) wants to start a loyalty program to reward repeat customers. The program will track every item a customer has bought and grants them points for discounts. The following conditions will exist upon implementation:
- Data will be used to drive marketing and product development
initiatives.
- NTO estimates that the program will generate 100 million rows of date monthly.
- NTO will use Salesforce's Einstein Analytics and Discovery to
leverage their data and make business and marketing decisions.
What should the Data Architect do to store, collect, and use the reward program data?

Answer: B

Explanation:
According to the official Salesforce guide, big objects are designed to store and manage massive data volumes within Salesforce without affecting performance. They can be queried by using Async SOQL or standard SOQL, and they can be accessed by using Apex, Visualforce, Lightning components, or APIs. Big objects are ideal for storing data that is used for analytics or reporting purposes, such as the reward program data. Option A is the correct answer because it allows NTO to create a custom big object in Salesforce that can store the reward program data and make it available for consumption by Einstein Analytics and Discovery.


NEW QUESTION # 110
Universal Containers (UC) is implementing Salesforce and will be using Salesforce to track customer complaints, provide white papers on products, and provide subscription-based support.
Which license type will UC users need to fulfill UC's requirements?

Answer: B

Explanation:
Service Cloud License (option C) is the license type that UC users need to fulfill UC's requirements, as it allows them to track customer complaints, provide white papers on products, and provide subscription-based support.


NEW QUESTION # 111
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