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Salesforce Data-Architect Exam Syllabus Topics:

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

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                                  Salesforce Certified Data Architect Sample Questions (Q129-Q134):

                                  NEW QUESTION # 129
                                  Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps.
                                  What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency?
                                  (Choose two.)

                                  Answer: A,C

                                  Explanation:
                                  Running a report that shows the last time the key fields were updated can help Get Cloudy Consulting identify stale or outdated data and prioritize data cleansing activities. Running a report that shows the percentage of blanks for the important fields can help Get Cloudy Consulting measure the completeness of their data and identify gaps or missing value


                                  NEW QUESTION # 130
                                  The data architect for UC has written a SOQL query that will return all records from the Task object that do not have a value in the WhatId field:
                                  Select id, description, Subject from Task where WhatId != NULL
                                  When the data architect usages the query to select values for a process a time out error occurs.
                                  What does the data architect need to change to make this query more performant?

                                  Answer: D


                                  NEW QUESTION # 131
                                  Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, Salesforce is throwing an "UNABLE _TO_LOCK_ROW" error.
                                  Which solution should a data architect recommend to resolve the error?

                                  Answer: B


                                  NEW QUESTION # 132
                                  UC developers have created a new lightning component that uses an Apex controller using a SOQL query to populate a custom list view. Users are complaining that the component often fails to load and returns a time- out error.
                                  What tool should a data architect use to identify why the query is taking too long?

                                  Answer: C

                                  Explanation:
                                  According to the Salesforce documentation 1 , the query plan tool is a tool that can be enabled and used in the developer console to analyze the performance of a SOQL query. The query plan tool shows the cost, cardinality, sObject type, and relative cost of each query plan that Salesforce considers for a query. The relative cost indicates how expensive a query plan is compared to the Force.com query optimizer threshold. A query plan with a relative cost above 1.0 is likely to cause a time-out error.
                                  To identify why the query is taking too long, a data architect should use the query plan tool in the developer console (option B). This way, the data architect can see which query plan is chosen by Salesforce and how it affects the performance of the query. The data architect can also use the query plan tool to optimize the query by adding indexes, filters, or limits to reduce the cost and improve the efficiency of the query.
                                  Using Splunk to query the system logs looking for transaction time and CPU usage (option A) is not a good solution, as it can be complex, costly, and difficult to integrate with Salesforce. It may also not provide enough information or insights to identify and optimize the query performance. Using Salesforce's query optimizer to analyze the query in the developer console (option C) is also not a good solution, as it is not a separate tool that can be used in the developer console. The query optimizer is a feature that runs automatically when a SOQL query is executed and chooses the best query plan based on various factors 2 .
                                  Opening a ticket with Salesforce support to retrieve transaction logs to be analyzed for processing time (option D) is also not a good solution, as it can be time-consuming, dependent, and inefficient. It may also not provide enough information or insights to identify and optimize the query performance.


                                  NEW QUESTION # 133
                                  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

                                  Answer: B,C,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 # 134
                                  ......

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