Actual Salesforce Data-Architect Exam Questions And Correct Solution

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Salesforce Data-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Modeling and Database Design	- Data modeling concepts 1. Normalization and denormalization strategies 2. Relational vs. non-relational data design - Salesforce data model design 1. Schema design for scalability 2. Standard and custom objects usage
Topic 2: Master Data Management (MDM)	- MDM architecture 1. Golden record design 2. Data synchronization approaches
Topic 3: Data Integration	- Salesforce integration tools 1. MuleSoft and REST/SOAP APIs 2. Platform events and change data capture - Integration patterns 1. ETL vs real-time integration 2. API-based integration strategies
Topic 4: Data Governance and Management	- Security and compliance 1. Data access controls 2. Regulatory compliance considerations - Data quality management 1. Deduplication strategies 2. Data validation rules
Topic 5: Large Data Volume and Performance	- Scalability considerations 1. Indexing and query optimization 2. Bulk data processing strategies

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Salesforce Certified Data Architect Sample Questions (Q101-Q106):

NEW QUESTION # 101
Get Cloudy Consulting is migrating their legacy system's users and data to Salesforce. They will be creating
15,000 users, 1.5 million Account records, and 15 million Invoice records. The visibility of these records is controlled by a 50 owner and criteria-based sharing rules.
Get Cloudy Consulting needs to minimize data loading time during this migration to a new organization.
Which two approaches will accomplish this goal? (Choose two.)

A. Defer sharing calculations until the data has finished uploading.
B. Contact Salesforce to activate indexing before uploading the data.
C. Create the users, upload all data, and then deploy the sharing rules.
D. First, load all account records, and then load all user records.

Answer: A,C

Explanation:
Creating the users, uploading all data, and then deploying the sharing rules will reduce the number of sharing recalculations that occur during the data load. Deferring sharing calculations until the data has finished uploading will also improve the performance by postponing the sharing rule evaluation. These are the recommended best practices for loading large data sets into Salesforce

NEW QUESTION # 102
A data architect has been tasked with optimizing a data stewardship engagement for a Salesforce instance Which three areas of Salesforce should the architect review before proposing any design recommendation? Choose 3 answers

A. Determine if any integration points create records in Salesforce.
B. Review the sharing model to determine impact on duplicate records.
C. Export the setup audit trail to review what fields are being used.
D. Review the metadata xml files for redundant fields to consolidate.
E. Run key reports to determine what fields should be required.

Answer: A,B,E

Explanation:
Determining if any integration points create records in Salesforce, running key reports to determine what fields should be required, and reviewing the sharing model to determine impact on duplicate records are three areas of Salesforce that the architect should review before proposing any design recommendation. These areas will help to identify the sources and quality of data, the business rules and validations for data entry, and the access and visibility of data across users and roles. Reviewing the metadata xml files for redundant fields to consolidate, and exporting the setup audit trail to review what fields are being used are not necessary steps for optimizing a data stewardship engagement, as they are more related to metadata management and audit tracking.

NEW QUESTION # 103
Which two best practices should be followed when using SOSL for searching?

A. Use searches against single Objects for greater speed and accuracy.
B. Use Find in "ALL FIELDS" for faster searches.
C. Use SOSL option to ignore custom indexes as search fields are pre-indexed.
D. Keep searches specific and avoid wildcards where possible.

Answer: B,D

Explanation:
The two best practices that should be followed when using SOSL for searching are: Keep searches specific and avoid wildcards where possible. Use Find in "ALL FIELDS" for faster searches. These best practices are helpful because they optimize the search performance and relevance. For example, keeping searches specific and avoiding wildcards where possible can reduce the number of results returned and improve the search accuracy. Using Find in "ALL FIELDS" for faster searches can leverage Salesforce's pre-defined indexes on common fields and return results more quickly than specifying individual fields.

NEW QUESTION # 104
Universal Containers (UC) has a Salesforce instance with over 10.000 Account records. They have noticed similar, but not identical. Account names and addresses. What should UC do to ensure proper data quality?

A. Enable Account de -duplication by creating matching rules in Salesforce, which will mass merge duplicate Accounts.
B. Make the Account Owner clean their Accounts' addresses, then merge Accounts with the same address.
C. Run a report, find Accounts whose name starts with the same five characters, then merge those Accounts.
D. Use a service to standardize Account addresses, then use a 3rd -party tool to merge Accounts based on rules.

Answer: A

NEW QUESTION # 105
Universal Containers (UC) has implemented Sales Cloud and it has been noticed that Sales reps are not entering enough data to run insightful reports and dashboards. UC executives would like to monitor and measure data quality metrics. What solution addresses this requirement?

A. Generate reports to view the quality of sample data.
B. Use third-party AppExchange tools to monitor and measure data quality.
C. Export the data to an enterprise data warehouse and use BI tools for data quality.
D. Use custom objects and fields to calculate data quality.

Answer: B

Explanation:
Using third-party AppExchange tools to monitor and measure data quality can address the requirement of UC executives by providing features such as data cleansing, deduplication, validation, enrichment, and scoring. These tools can help improve the accuracy, completeness, and consistency of the data entered by sales reps .

NEW QUESTION # 106
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