Salesforce Plat-Arch-201 Questions Exam, Plat-Arch-201 Exam Training

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Salesforce Plat-Arch-201 Exam Syllabus Topics:

SectionWeightObjectives
Data Modeling and Database Design25%- 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
- Data skew prevention
  • 1. Avoid record locking, sharing issues and excessive parent-child relationships
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 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
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
Data Governance, Quality and Security15%- Data quality management
  • 1. Profiling, monitoring, cleansing and enrichment
- Data security and compliance
  • 1. Access control, encryption, compliance and audit
- Data governance framework
  • 1. Policies, standards, ownership and stewardship
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

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Salesforce Certified Platform Data Architect Sample Questions (Q243-Q248):

NEW QUESTION # 243
UC has a variety of systems across its technology landscape, including SF, legacy enterprise resource planning (ERP) applications and homegrown CRM tools. UC has decided that they would like to consolidate all customer, opportunity and order data into Salesforce as part of its master data management (MDM) strategy. What are the 3 key steps that a data architect should take when merging data from multiple systems into Salesforce? Choose 3 answer

Answer: A,C,D

Explanation:
The three key steps that a data architect should take when merging data from multiple systems into Salesforce are:
Analyze each system's data model and perform gap analysis. This step involves understanding the structure and meaning of the data in each system, identifying the common and unique data elements, and mapping the data fields between the systems. This step also involves assessing the quality and consistency of the data, and identifying any data cleansing or transformation needs.
Utilize an ETL tool to merge, transform, and de-duplicate data. This step involves using an ETL tool to connect to the source systems, extract the data, apply any data transformations or validations, and load the data into Salesforce. This step also involves applying de-duplication rules or algorithms to avoid creating duplicate records in Salesforce.
Work with stakeholders to define record and field survivorship rules. This step involves collaborating with the business users and owners of the data to determine which records and fields should be retained or overwritten in case of conflicts or discrepancies. This step also involves defining the criteria and logic for record and field survivorship, and implementing them in the ETL tool or in Salesforce.
Creating new fields to store additional values from all the systems is not a key step, but rather a possible outcome of the gap analysis. It may not be necessary or desirable to create new fields for every value from every system, as it may result in redundant or irrelevant data. Installing a 3rd party AppExchange tool to handle the merger is not a key step, but rather a possible option for choosing an ETL tool. It may not be the best option depending on the requirements, budget, and preferences of the organization.


NEW QUESTION # 244
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: A

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 # 245
Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org. UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org. Which three recommendations should a data architect make is order to reduce the number of records from the org? Choose 3 answer

Answer: C,D,E

Explanation:
Using hard delete in Bulk API, identifying records that have not been modified or used in last 3 years, and archiving the records in EDW before deleting from Salesforce are all good recommendations to reduce the number of records from the org. Using hard delete in batch Apex or Rest API may not be as efficient or scalable as Bulk API


NEW QUESTION # 246
The head of sales at Get Cloudy Consulting wants to understand key relevant performance figures and help managers take corrective actions where appropriate. What is one reporting option Get Cloudy Consulting should consider?

Answer: A

Explanation:
A Sales KPI Dashboard is one reporting option that Get Cloudy Consulting should consider to understand key relevant performance figures and help managers take corrective actions where appropriate. A Sales KPI Dashboard can display various metrics that indicate the health and effectiveness of the sales team, such as quota attainment, pipeline value, win rate, average deal size, sales cycle length, and more. A Sales KPI Dashboard can also help identify trends, patterns, and areas for improvement.


NEW QUESTION # 247
Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
- A subnet of individuals from the finance team will need to access to
the projects object for reporting and adjusting employee utilization.
- The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?

Answer: C

Explanation:
The data architect should recommend Lighting platform plus license type for the finance team that best meets the requirements. This license type allows users to access custom objects and run reports and dashboards on them, without accessing any sales objects.


NEW QUESTION # 248
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