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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Migration	15%	- 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
Topic 2: Master Data Management	5%	- 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
Topic 3: Data Integration	20%	- External data sources 1. External Objects, OData and virtual data access - 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
Topic 4: Data Modeling and Database Design	25%	- 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 - Object type selection 1. Standard/custom objects vs Big Objects: use cases, pros and cons
Topic 5: Large Data Volumes and Performance	20%	- LDV architecture design 1. Data distribution, archiving and partitioning strategies - Storage and scalability planning 1. Data volume growth planning and storage limits - Query and performance optimization 1. Indexing, selective queries and avoiding performance bottlenecks
Topic 6: 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

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Salesforce Certified Platform Data Architect Sample Questions (Q13-Q18):

NEW QUESTION # 13
Universal Containers (UC) is implementing its new Internet of Things technology, which consists of smart containers that provide information on container temperature and humidity updated every 10 minutes back to UC. There are roughly 10,000 containers equipped with this technology with the number expected to increase to 50,000 across the next five years. It is essential that Salesforce user have access to current and historical temperature and humidity data for each container. What is the recommended solution?

A. Create new custom fields for temperature and humidity in the existing Container custom object, as well as an external ID field that is unique for each container. These custom fields are updated when a new measure is received.
B. Create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour.
C. Create a new Lightning Component that displays last humidity and temperature data for a specific container and can also display historical trends obtaining relevant data from UC's existing data warehouse.
D. Create a new Container Reading custom object, which is created when a new measure is received for a specific container. The Container Reading custom object has a master-detail relationship to the container object.

Answer: B

Explanation:
The recommended solution for Universal Containers (UC) to implement its new Internet of Things technology is to create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container.
Implement an archiving process that runs every hour. This solution would allow UC to store and access current and historical temperature and humidity data for each container on Salesforce, and use reports and dashboards to analyze it. However, since UC expects a large volume of data over time, they should implement an archiving process that moves data off-platform after a certain period of time to avoid hitting the Org data storage limit and maintain optimal performance. The other options are not recommended, as they would either not store the historical data on Salesforce, or create too many custom fields on the Container object that could impact performance and usability.

NEW QUESTION # 14
Northern Trail Outfitters is concerned because some of its data is sensitive and needs to be identified for access. What should be used to provide ways to filter and identify the sensitive data?

A. Custom checkbox denoting sensitive data.
B. Define data classification metadata.
C. Implement field-level security.
D. Define data grouping metadata.

Answer: B

Explanation:
According to the official Salesforce guide, data classification metadata is a feature that allows administrators to classify data fields based on their sensitivity level, such as confidential, restricted, or general. Data classification metadata can be used to filter and identify sensitive data fields and apply appropriate security measures, such as encryption, masking, or auditing. Option D is the correct answer because it suggests using data classification metadata to provide ways to filter and identify sensitive data.

NEW QUESTION # 15
Universals Containers' system administrators have been complaining that they are not able to make changes to its users' record, including moving them to new territories without getting
"unable to lock row" errors. This is causing the system admins to spend hours updating user records every day. What should the data architect do to prevent the error?

A. Enable granular locking.
B. Increase CPU for the Salesforce org.
C. Reduce number of users updated concurrently.
D. Analyze Splunk query to spot offending records.

Answer: A

Explanation:
Enabling granular locking (option B) is the best option to prevent the error, as it allows finer control over how records are locked during automated or manual processes, and reduces the chances of lock contention or deadlock.

NEW QUESTION # 16
Universal Containers is creating a new B2C service offering for consumers to ship goods across continents. This is in addition to their well-established B2B offering. Their current Salesforce org uses the standard Account object to track B2B customers. They are expecting to have over
50,000,000 consumers over the next five years across their 50 business regions. B2C customers will be individuals. Household data is not required to be stored. What is the recommended data model for consumer account data to be stored in Salesforce?

A. Use the Account object with Person Accounts and a new B2C page layout.
B. Use the Account object with a newly created Record Type for B2C customers.
C. Use 50 umbrella Accounts for each region, with customers as associated Contacts.
D. Create a new picklist value for B2C customers on the Account Type field.

Answer: A

Explanation:
The recommended data model for consumer account data to be stored in Salesforce is to use the Account object with Person Accounts and a new B2C page layout. Person Accounts are a special type of accounts that allow you to store information about individual consumers who are not associated with a business account. Person Accounts have the following advantages:
They allow you to use the same standard objects and features that you use for business accounts, such as contacts, opportunities, cases, etc.
They enable you to create different page layouts and record types for B2C and B2B customers, which allows you to customize the user interface and business logic for each segment.
They support large data volumes and can scale up to 50 million records or more, which meets the expected growth of consumers over the next five years.

NEW QUESTION # 17
Universal Containers has millions of rows of data in Salesforce that are being used in reports to evaluate historical trends. Performance has become an issue, as well as data storage limits.
Which two strategies should be recommended when talking with stakeholders?

A. Combine Analytics Snapshots with a purging plan by reporting on the snapshot data and deleting the original records.
B. Use scheduled batch Apex to copy aggregate information into a custom object and delete the original records.
C. Configure the Salesforce Archiving feature to archive older records and remove them from the data storage limits.
D. Use Data Loader to extract data, aggregate it, and write it back to a custom object, then delete the original records.

Answer: B,C

Explanation:
Using scheduled batch Apex to copy aggregate information into a custom object and delete the original records can improve the performance and reduce the data storage limits by removing unnecessary data and keeping only the summary data that is needed for reporting. Configuring the Salesforce Archiving feature to archive older records and remove them from the data storage limits can also help with performance and storage issues by moving historical data to a separate system that is still accessible but does not affect the operational data

NEW QUESTION # 18
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