Quiz Plat-Arch-201 - Salesforce Certified Platform Data Architect Authoritative Valid Exam Camp

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
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
Data Migration15%- Migration execution and tools
  • 1. Data loader, ETL tools and bulk API usage
- Data quality and validation
  • 1. Cleaning, deduplication and post-migration verification
- Migration strategy and planning
  • 1. Assessment, mapping, validation and rollback planning
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
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
Data Modeling and Database Design25%- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
- Metadata management
  • 1. Business dictionary, data lineage, taxonomy and classification
- Object type selection
  • 1. Standard/custom objects vs Big Objects: use cases, pros and cons
- 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
- Integration patterns and technologies
  • 1. APIs, middleware and external systems integration
  • 2. Synchronous vs asynchronous, batch vs real-time
- External data sources
  • 1. External Objects, OData and virtual data access

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

NEW QUESTION # 277
Get Cloudy Consulting monitors 15,000 servers, and these servers automatically record their status every 10 minutes. Because of company policy, these status reports must be maintained for
5 years. Managers at Get Cloudy Consulting need access to up to one week's worth of these status reports with all of their details. An Architect is recommending what data should be integrated into Salesforce and for how long it should be stored in Salesforce. Which two limits should the Architect be aware of? (Choose two.)

Answer: B,C

Explanation:
Data storage limits and API request limits are two important factors that affect the data integration and storage in Salesforce. Data storage limits determine how much data can be stored in Salesforce, and API request limits determine how many API calls can be made to Salesforce in a
24-hour period. Both of these limits depend on the edition and license type of the Salesforce org.
Workflow rule limits and webservice callout limits are not directly related to data integration and storage, but rather to business logic and external services.


NEW QUESTION # 278
UC is migrating individual customers (B2C) data from legacy systems to SF. There are millions of customers stored as accounts and contacts in legacy database. Which object model should a data architect configure within SF?

Answer: C

Explanation:
The best object model to configure within SF for migrating individual customers (B2C) data from legacy systems is to leverage person account object in Salesforce. Person accounts are a special type of accounts that store information about individual people by combining certain account and contact fields into a single record. Person accounts are useful for B2C scenarios where there is no need to associate a company name with a contact. Person accounts also support standard Salesforce features and functionality, such as leads, campaigns, reports, dashboards, etc.
Leverage custom person account object in SF is not a good option because there is no such thing as a custom person account object. Leverage custom account and contact object in SF is not a good option because it would require creating and maintaining additional objects and fields that may not be necessary or compatible with standard Salesforce features. Leverage standard account and contact object in SF is not a good option because it would require filling in dummy values for the account name field, which is mandatory for standard accounts.


NEW QUESTION # 279
To address different compliance requirements, such as general data protection regulation (GDPR), personally identifiable information (PII), of health insurance Portability and Accountability Act (HIPPA) and others, a SF customer decided to categorize each data element in SF with the following:
- Data owner
- Security Level, such as confidential
- Compliance types such as GDPR, PII, HIPPA
A compliance audit would require SF admins to generate reports to manage compliance.
What should a data architect recommend to address this requirement?

Answer: B

Explanation:
The data architect should recommend using field metadata attributes for compliance categorization, data owner, and data sensitivity level. This will allow the SF admins to generate reports to manage compliance based on the field metadata attributes that are defined for each data element in SF.


NEW QUESTION # 280
An Architect needs to document the data architecture for a multi-system, enterprise Salesforce implementation. Which two key artifacts should the Architect use? (Choose two.)

Answer: B,C

Explanation:
Option B is correct because data model is a key artifact that an architect should use to document the data architecture for a multi-system, enterprise Salesforce implementation. Data model describes the structure and relationship of data entities within an organization. Option C is correct because integration specification is another key artifact that an architect should use to document the data architecture for a multi-system, enterprise Salesforce implementation. Integration specification defines the scope, requirements, design, testing, and deployment of integration solutions between Salesforce and other systems.


NEW QUESTION # 281
A consumer products company has decided to use Salesforce for its contact center. The contact center agents need access to the following information in Service Console when a customer contacts them:
1. Customer browsing activity on its website stored on its on premise system
2. Customer interactions with sales associates at its retail stores maintained in Salesforce
3. Contact center interactions maintained in Salesforce
4. Email campaign activity to customer from its marketing systems.
What should a data architect do to fulfill these requirements with minimum development effort in Salesforce?

Answer: B

Explanation:
Building a customer view in Service Console with components that show website data and marketing data as mashup is the best option to fulfill the requirement with minimum development effort in Salesforce. A mashup is a technique that combines data from different sources into a single user interface. You can use Visualforce pages or Lightning components to create mashups that display data from external systems such as your website and marketing system. This way, you can provide your contact center agents with a comprehensive view of the customer information they need.


NEW QUESTION # 282
......

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