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Salesforce Data-Architect Exam Syllabus Topics:

SectionWeightObjectives
Data Modeling and Database Design25%- Indexing and data structure
  • 1. Query optimization strategies
  • 2. Standard and custom indexes
  • 3. Skinny tables and big objects
- Design scalable data models
  • 1. Custom and standard object design
  • 2. Data model optimization for performance
  • 3. Object relationships and cardinality
Data Governance and Compliance20%- Data lifecycle management
  • 1. Data retention and archiving policies
  • 2. Data classification and handling
  • 3. Data privacy and security
- Data governance framework
  • 1. Compliance and regulatory requirements
  • 2. Data quality standards
  • 3. Data stewardship and ownership
Large Data Volume Considerations20%- Storage and optimization
  • 1. Storage limits and management
  • 2. Performance tuning techniques
  • 3. Archiving and off-platform storage
- Performance and scalability
  • 1. Governor limits and bulk processing
  • 2. Avoiding and resolving data skew
  • 3. Handling millions of records
Salesforce Data Management25%- Sharing and visibility design
  • 1. Organization-wide defaults, role hierarchy
  • 2. Sharing rules, manual sharing, Apex sharing
  • 3. Data access and security model
- Data import and export strategies
  • 1. Migration planning and execution
  • 2. Data validation and cleansing
  • 3. Tools: Data Loader, Import Wizard, Bulk API
Data Integration and Master Data Management10%- Integration patterns and tools
  • 1. Real-time vs batch integration
  • 2. REST, SOAP, and Bulk API usage
  • 3. External data sources and objects
- Master data management
  • 1. MDM strategy and implementation
  • 2. Data synchronization and consistency
  • 3. Single source of truth design

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Salesforce Certified Data Architect Sample Questions (Q53-Q58):

NEW QUESTION # 53
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: A

Explanation:
According to the Salesforce documentation, SOQL is a query language that allows querying data from Salesforce objects and fields. SOQL queries have various clauses and operators that can be used to filter and sort the results. However, some clauses and operators can affect the performance of SOQL queries by increasing the cost or complexity of executing them.
To make this query more performant, a data architect should change the where clause to filter by a deterministic defined value (option D). This means using a filter condition that specifies a concrete value or range of values for a field, such as WhatId = '001xx000003DGg3' or WhatId IN ('001xx000003DGg3',
'001xx000003DGg4'). This can improve the performance of the query by reducing the number of records that need to be scanned and returned. A deterministic defined value can also leverage an index on the field, which can speed up the query execution.
Removing description from the requested field set (option A) is not a good solution, as it can affect the functionality or usability of the query. The description field may contain important or relevant information that is needed for the process. Changing the query to SOSL (option B) is also not a good solution, as SOSL is a different query language that allows searching text fields across multiple objects. SOSL queries have different syntax and limitations than SOQL queries, and may not return the same results or performance.
Adding limit 100 to the query (option C) is also not a good solution, as it can affect the completeness or accuracy of the query. The limit clause specifies the maximum number of records that can be returned by the query, which may not include all the records that match the filter condition.


NEW QUESTION # 54
Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answers

Answer: A,D


NEW QUESTION # 55
Universal container (UC) would like to build a Human resources application on Salesforce to manage employee details, payroll, and hiring efforts. To adequately and store the relevant data, the application will need to leverage 45 custom objects. In addition to this, UC expects roughly 20,00 API calls into Salesfoce from an n-premises application daily.
Which license type should a data architect recommend that best fits these requirements?

Answer: C


NEW QUESTION # 56
What should a data architect do to provide additional guidance for users when they enter information in a standard field?

Answer: A


NEW QUESTION # 57
Universal Containers has a large number of Opportunity fields (100) that they want to track field history on. Which two actions should an architect perform in order to meet this requirement? Choose 2 answers

Answer: A,C

Explanation:
Creating a custom object to store a copy of the record when changed and creating a custom object to store the previous and new field values are two possible actions that an architect can perform to meet the requirement of tracking field history on 100 Opportunity fields. A custom object can store more fields and records than the standard field history tracking feature, which has a limit of 20 fields per object and 18 or 24 months of data retention. A custom object can also be used for reporting and analysis of field history data. The other options are not feasible or effective for meeting the requirement


NEW QUESTION # 58
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