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| Section | Weight | Objectives |
|---|
| Data Modeling and Database Design | 25% | - Design scalable data models
- 1. Custom and standard object design
- 2. Object relationships and cardinality
- 3. Data model optimization for performance
- Indexing and data structure
- 1. Standard and custom indexes
- 2. Query optimization strategies
- 3. Skinny tables and big objects
|
| Data Integration and Master Data Management | 10% | - Master data management
- 1. MDM strategy and implementation
- 2. Single source of truth design
- 3. Data synchronization and consistency
- Integration patterns and tools
- 1. External data sources and objects
- 2. REST, SOAP, and Bulk API usage
- 3. Real-time vs batch integration
|
| Salesforce Data Management | 25% | - Sharing and visibility design
- 1. Sharing rules, manual sharing, Apex sharing
- 2. Data access and security model
- 3. Organization-wide defaults, role hierarchy
- Data import and export strategies
- 1. Tools: Data Loader, Import Wizard, Bulk API
- 2. Migration planning and execution
- 3. Data validation and cleansing
|
| Data Governance and Compliance | 20% | - Data lifecycle management
- 1. Data classification and handling
- 2. Data privacy and security
- 3. Data retention and archiving policies
- Data governance framework
- 1. Data quality standards
- 2. Compliance and regulatory requirements
- 3. Data stewardship and ownership
|
| Large Data Volume Considerations | 20% | - Performance and scalability
- 1. Avoiding and resolving data skew
- 2. Handling millions of records
- 3. Governor limits and bulk processing
- Storage and optimization
- 1. Performance tuning techniques
- 2. Storage limits and management
- 3. Archiving and off-platform storage
|
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Salesforce Certified Data Architect Sample Questions (Q82-Q87):
NEW QUESTION # 82
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?
- A. The REST API to extract data as it automatically chunks records by 200.
- B. Use a custom auto number and formula field and use that to chunk records while extracting data.
- C. Ask SF support to increase the query timeout value.
- D. Use ETL tool for extraction of records.
Answer: D
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 5 . 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 6
. Asking SF support to increase the query timeout value is not feasible because query timeout values are not configurable
NEW QUESTION # 83
DreamHouse Realty has an integration that creates records in a Salesforce Custom Object. The Custom Object has a field marked as required on the page layout.
DreamHouse Realty has noticed that many of the records coming from the external system are missing data in this field.
The Architect needs to ensure this field always contains data coming from the source system.
Which two approaches should the Architect take? Choose 2 answers
- A. Blame the customer's external system for bad data.
- B. Create a Workflow to default a value into this field.
- C. Set up a Validation Rule to prevent blank values.
- D. Mark the field required in setup at the field level.
Answer: C,D
NEW QUESTION # 84
As part of a phased Salesforce rollout. there will be 3 deployments spread out over the year. The requirements have been carefully documented. Which two methods should an architect use to trace back configuration changes to the detailed requirements? Choose 2 answers
- A. Put the business purpose in the Description of each field.
- B. Use the Force.com IDE to save the metadata files in source control.
- C. Review the setup audit trail for configuration changes.
- D. Maintain a data dictionary with the justification for each field.
Answer: A,B
Explanation:
Option B is correct because putting the business purpose in the Description of each field is a method that an architect can use to trace back configuration changes to the detailed requirements1. The Description of each field provides a brief explanation of what the field is used for and why it is needed2. Option D is correct because using the Force.com IDE to save the metadata files in source control is another method that an architect can use to trace back configuration changes to the detailed requirements1. The Force.com IDE is an integrated development environment that allows developers to work with Salesforce metadata files and Apex code3. Source control is a system that tracks and manages changes to code and configuration files4. Option A is not correct because reviewing the setup audit trail for configuration changes is not a method to trace back configuration changes to the detailed requirements, but a way to monitor and audit the changes made in the setup area. Option C is not correct because maintaining a data dictionary with the justification for each field is not a method to trace back configuration changes to the detailed requirements, but a document that provides information about the data entities and attributes in a system.
NEW QUESTION # 85
Universal Containers (UC) has users complaining about reports timing out or simply taking too long to run What two actions should the data architect recommend to improve the reporting experience? Choose 2 answers
- A. Index key fields used in report criteria.
- B. Share each report with fewer users.
- C. Enable Divisions for large data objects.
- D. Create one skinny table per report.
Answer: A,D
Explanation:
Indexing key fields used in report criteria can speed up the query execution and reduce the report run time.
Indexes can be created by Salesforce automatically or manually by request. Creating one skinny table per report can also improve the reporting performance by storing frequently used fields in a separate table that does not include complex formulas or joins.
NEW QUESTION # 86
Universal Containers has been a customer of Salesforce for 10 years. Currently they have 2 million accounts in the system. Due to an erroneous integration built 3 years ago, it is estimated there are 500,000 duplicates in the system.
Which solution should a data architect recommend to remediate the duplication issue?
- A. Extract the data using data loader and use excel to merge the duplicate records
- B. Utilize a data warehouse as the system of truth
- C. Implement duplicate rules
- D. Develop an ETL process that utilizers the merge API to merge the duplicate records
Answer: C
NEW QUESTION # 87
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