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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Integration	20%	- 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
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
Data Governance, Quality and Security	15%	- 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 Migration	15%	- Data quality and validation 1. Cleaning, deduplication and post-migration verification - Migration execution and tools 1. Data loader, ETL tools and bulk API usage - Migration strategy and planning 1. Assessment, mapping, validation and rollback planning
Large Data Volumes and Performance	20%	- 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
Data Modeling and Database Design	25%	- 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 - 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

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Salesforce Certified Platform Data Architect Sample Questions (Q112-Q117):

NEW QUESTION # 112
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW. What data extraction strategy should a data architect use for maximum performance?

A. Utilize PK Chunking with the Bulk API.
B. Install a third-party AppExchange tool.
C. Call the REST API in successive queries.
D. Use the Bulk API in parallel mode.

Answer: A

Explanation:
According to the Salesforce documentation, extracting large amounts of data from Salesforce can be challenging and time-consuming, as it can encounter performance issues, API limits, timeouts, etc. To extract 100 million records from Salesforce for migration to an enterprise data warehouse (EDW), a data extraction strategy that can provide maximum performance is:
Utilize PK Chunking with the Bulk API (option C). This means using a feature that allows splitting a large query into smaller batches based on the record IDs (primary keys) of the queried object.
This can improve performance and avoid timeouts by processing each batch asynchronously and in parallel using the Bulk API.

NEW QUESTION # 113
A large retail B2C customer wants to build a 360 view of its customer for its call center agents.
The customer interaction is currently maintained in the following system:
1. Salesforce CRM
2. Custom billing solution
3. Customer Master Data management (MDM)
4. Contract Management system
5. Marketing solution
What should a data architect recommend that would help upgrade uniquely identify customer across multiple systems:

A. Create a custom object that will serve as a cross reference for the customer id.
B. Create a customer data base and use this id in all systems.
C. Store the salesforce id in all the solutions to identify the customer.
D. Create a custom field as external id to maintain the customer Id from the MDM solution.

Answer: D

Explanation:
To help uniquely identify customer across multiple systems, a data architect should recommend creating a custom field as external ID to maintain the customer ID from the MDM solution. An external ID is a custom field that has the "External ID" attribute enabled, which means that it contains unique record identifiers from a system outside of Salesforce. By using the customer ID from the MDM solution as an external ID in Salesforce CRM, Contract Management system, and Marketing solution, the data architect can ensure that each customer can be easily identified and integrated across these systems.

NEW QUESTION # 114
Universal Containers (UC) uses the following Salesforce products:
- Sales Cloud for customer management.
- Marketing Cloud for marketing.
- Einstein Analytics for business reporting.
UC occasionally gets a list of prospects from third-party source as comma-separated values (CSV) files for marketing purposes. Historically, UC would load contact Lead object in Salesforce and sync to Marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing process.
What should a data architect recommend to UC in order to immediately avoid storage issues in the future?

A. Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications.
B. Continue to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete.
C. Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers.
D. Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications;

Answer: C

Explanation:
According to the Salesforce documentation, Marketing Cloud is a platform that allows creating and managing marketing campaigns across multiple channels, such as email, mobile, social media, web, etc. Marketing Cloud can integrate with Sales Cloud and other Salesforce products to share data and insights. One of the ways to integrate Marketing Cloud with Sales Cloud is using Marketing Cloud Connect, which allows syncing data between the two platforms using synchronized data sources.
However, if UC occasionally gets a list of prospects from third-party sources as CSV files for marketing purposes, it may not be necessary or efficient to load them into Sales Cloud first and then sync them with Marketing Cloud. This can consume large amounts of storage in Sales Cloud, which has a limit based on the license type. It can also cause data quality issues, such as duplicates or outdated information.
A better option for UC is to load the contacts directly to Marketing Cloud using Import Definition, which allows importing data from external files or databases into Marketing Cloud data extensions. Data extensions are custom tables that store marketing data in Marketing Cloud. This way, UC can avoid storage issues in Sales Cloud and optimize the marketing process by sending marketing communications directly from Marketing Cloud.
To track prospects that are converted to customers, UC can have a reconciliation process that compares the contacts in Marketing Cloud with the accounts or contacts in Sales Cloud. This can be done using SQL queries or API calls to access and compare data from both platforms.
Alternatively, UC can use Marketing Cloud Connect to sync the converted contacts from Sales Cloud to Marketing Cloud using synchronized data sources.

NEW QUESTION # 115
Cloud Kicks currently has a Public Read/Write sharing model for the company's Contacts. Cloud Kicks management team requests that only the owner of a contact record be allowed to delete that contact. What should an Architect do to meet these requirements?

A. Set the profile of the users to remove delete permission from the Contact object.
B. Set the Sharing settings as Public Read Only for the Contact object.
C. Check if the current user is NOT the owner by creating a "before delete" trigger.
D. Check if the current user is NOT the owner by creating a validation rule on the Contact object.

Answer: C

Explanation:
Checking if the current user is NOT the owner by creating a "before delete" trigger can meet the requirement of allowing only the owner of a contact record to delete that contact. A trigger is a piece of Apex code that can execute before or after a record is inserted, updated, deleted, or undeleted. A "before delete" trigger can prevent the deletion of a record by using the addError() method.

NEW QUESTION # 116
Universal Containers (UC) is migrating from an on-premise homegrown customer relationship management (CRM) system. During analysis, UC users highlight a pain point that there are multiple versions of many customers. What should the data architect do for a successful migration to mitigate the pain point?

A. Store the data in a staging database, and de-duplicate identical records.
B. Hire an intern manually de-duplicate the records after migrating to Salesforce.
C. Have the users manually clean the data in the old system prior to migration.
D. Migrate the data as is, and use Salesforce's de-duplicating feature.

Answer: A

Explanation:
Storing the data in a staging database and de-duplicating identical records (option D) is the best solution for a successful migration to mitigate the pain point, as it allows the data architect to identify and merge duplicate customers before they are imported into Salesforce.

NEW QUESTION # 117
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