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Salesforce Plat-Arch-201 Exam Syllabus Topics:

Section	Objectives
Data Migration	- Data migration strategies and planning - Data cleansing and transformation
Data Architecture and Design	- Data modeling best practices in Salesforce - Handling large data volume and scalability considerations - Conceptual and logical data modeling
Data Management	- Master data management (MDM) concepts - Data governance principles - Data quality management
Data Integration	- ETL vs ELT strategies - Integration patterns in Salesforce - API-based integration approaches
Salesforce Data Model and Platform Capabilities	- Reporting and analytics considerations - Standard and custom objects - Relationships and schema design

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Salesforce Certified Platform Data Architect Sample Questions (Q116-Q121):

NEW QUESTION # 116
Northern Trail Outfitters (NTO) has the following systems:
- Customer master-source of truth for customer information
- Service cloud-customer support
- Marketing cloud-marketing support
- Enterprise data warehouse--business reporting
The customer data is duplicated across all these systems and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.
NTO is planning to implement master data management (MDM) solution across the enterprise.
Which three data will an MDM tool solve? Choose 3 answer

A. Data duplication
B. Data standardization
C. Data loss and recovery
D. Data accuracy and quality
E. Data completeness

Answer: A,B,D

Explanation:
According to the What is Master Data Management (MDM)? article, some of the data challenges that an MDM tool can solve are data duplication, data accuracy and quality, and data standardization. The article states that "MDM solutions comprise a broad range of data cleansing, transformation, and integration practices. As data sources are added to the system, MDM initiates processes to identify, collect, transform, and repair data. Once the data meets the quality thresholds, schemas and taxonomies are created to help maintain a high-quality master reference." Therefore, an MDM tool can help NTO eliminate data duplication across different systems, improve data accuracy and quality by removing errors and inconsistencies, and standardize data formats and definitions for better integration and analysis.

NEW QUESTION # 117
Which three characteristics of a skinny table help improve report and query performance?

A. Skinny tables provide a view across multiple objects for easy access to combined data.
B. Skinny tables do not include records that are available in the recycle bin.
C. Skinny tables can contain frequently used fields and thereby help avoid joins.
D. Skinny tables can be used to create custom indexes on multi-select picklist fields.
E. Skinny tables are kept in sync with changes to data in the source tables.

Answer: B,C,E

Explanation:
The three characteristics of a Skinny table that help improve report and query performance are:
Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries. Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data. Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.

NEW QUESTION # 118
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. Have the users manually clean the data in the old system prior to migration.
B. Migrate the data as is, and use Salesforce's de-duplicating feature.
C. Store the data in a staging database, and de-duplicate identical records.
D. Hire an intern manually de-duplicate the records after migrating to Salesforce.

Answer: C

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 # 119
Universal Containers uses Apex jobs to create leads in Salesforce. The business team has requested that lead creation failures should be reported to them. Which option does Apex provide to report errors from this Apex job?

A. Save Apex errors in a custom object, and allow access to this object for reporting.
B. Use AppExchange package to clean lead information before Apex job processes them.
C. Use Custom Object to store leads, and allow unprocessed leads to be reported.
D. Use Apex services to email failures to business when error occurs.

Answer: D

Explanation:
Saving Apex errors in a custom object can be a way to report errors from an Apex job. The article provides an example of how to create a custom object called AsyncApexError__c and use a trigger to insert error records into it. The custom object can then be used for reporting or notification purposes.

NEW QUESTION # 120
What ensures referential integrity?

A. Validation Rules
B. Apex Triggers
C. Relationships
D. Workflows

Answer: C

Explanation:
Relationships ensure valid connections between records.

NEW QUESTION # 121
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