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The prominent benefits of Salesforce Certified Data Architect certification exam are validation of skills, updated knowledge, more career opportunities, instant rise in salary, and advancement of the career. Obviously, every serious professional wants to gain all these advantages. With the Salesforce Data-Architect Certification Exam, you can achieve this goal nicely and quickly.
| Section | Objectives |
|---|
| Topic 1: Large Data Volume and Performance | - Scalability considerations
- 1. Bulk data processing strategies
- 2. Indexing and query optimization
|
| Topic 2: Data Modeling and Database Design | - Data modeling concepts
- 1. Relational vs. non-relational data design
- 2. Normalization and denormalization strategies
- Salesforce data model design
- 1. Standard and custom objects usage
- 2. Schema design for scalability
|
| Topic 3: Master Data Management (MDM) | - MDM architecture
- 1. Data synchronization approaches
- 2. Golden record design
|
| 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: Data Integration | - Salesforce integration tools
- 1. Platform events and change data capture
- 2. MuleSoft and REST/SOAP APIs
- Integration patterns
- 1. ETL vs real-time integration
- 2. API-based integration strategies
|
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Salesforce Certified Data Architect Sample Questions (Q134-Q139):
NEW QUESTION # 134
Cloud Kicks is launching a Partner Community, which will allow users to register shipment requests that are then processed by Cloud Kicks employees. Shipment requests contain header information, and then a list of no more than 5 items being shipped.
First, Cloud Kicks will introduce its community to 6,000 customers in North America, and then to 24,000 customers worldwide within the next two years. Cloud Kicks expects 12 shipment requests per week per customer, on average, and wants customers to be able to view up to three years of shipment requests and use Salesforce reports.
What is the recommended solution for the Cloud Kicks Data Architect to address the requirements?
- A. Create an external custom object to track shipment requests with five lookup custom fields for each item being shipped. External objects are stored off-platform in Heroku's Postgres database.
- B. Create a custom object to track shipment requests and a child custom object to track shipment items. Implement an archiving process that moves data off-platform after three years.
- C. Create a custom object to track shipment requests with five lookup custom fields for each item being shipped Implement an archiving process that moves data off-platform after three years.
- D. Create an external custom object to track shipment requests and a child external object to track shipment items. External objects are stored off-platform in Heroku's Postgres database.
Answer: B
NEW QUESTION # 135
Universal Containers is setting up an external Business Intelligence (BI) system and wants to extract
1,000,000 Contact records. What should be recommended to avoid timeouts during the export process?
- A. Schedule a Batch Apex job to export the data.
- B. Use the SOAP API to export data.
- C. Utilize the Bulk API to export the data.
- D. Use GZIP compression to export the data.
Answer: D
Explanation:
According to the exam guide, one of the objectives is to " describe the use cases and considerations for using various tools and techniques for data migration (for example, Data Loader, Bulk API) " 1 . This implies that option B is the correct way to extract large volumes of data from Salesforce. The Bulk API is designed to handle large-scale data operations and avoid timeouts. Option A is not correct because the SOAP API is not optimized for large data sets and may encounter limits. Option C is not correct because GZIP compression does not prevent timeouts, but rather reduces the size of the data transferred. Option D is not correct because Batch Apex is used to process records asynchronously in Salesforce, not to export data to an external system.
NEW QUESTION # 136
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?
- A. Defer rollup summary field calculation during data migration.
- B. Perform a batch job in serial mode and reduce the batch size.
- C. Perform a batch job in parallel mode and reduce the batch size.
- D. Leverage Data Loader's platform API to load data.
Answer: B
Explanation:
According to the Salesforce documentation1, the "UNABLE _TO_LOCK_ROW" error occurs when a record is being updated or created, and another operation tries to access or update the same record at the same time. This can cause lock contention and timeout issues. To resolve the error, some of the recommended solutions are:
Perform a batch job in serial mode and reduce the batch size (option B). This means running the batch job one at a time and processing fewer records per batch. This can reduce the chances of concurrent updates and lock contention on the same records.
Use the FOR UPDATE keyword to lock records in Apex code or API calls. This means explicitly locking the records that are being accessed or updated by a transaction, and preventing other transactions from modifying them until the lock is released. This can avoid conflicts and errors between concurrent operations on the same records2.
Defer rollup summary field calculation during data migration (option A). This means disabling the automatic calculation of rollup summary fields on the parent object when child records are inserted or updated. This can improve performance and avoid locking issues on the parent records. However, this option is only available for custom objects, not standard objects3.
Performing a batch job in parallel mode and reducing the batch size (option C) is not a good solution, as it can still cause lock contention and errors if multiple batches try to access or update the same records at the same time. Leveraging Data Loader's platform API to load data (option D) is also not a good solution, as it can still encounter locking issues if other operations are modifying the same records at the same time.
NEW QUESTION # 137
A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?
- A. Recommend app exchange packages to support this requirement.
- B. Create a geolocation custom field to maintain this requirement
- C. Create formula fields with geolocation function for this requirement.
- D. Create custom fields to maintain latitude and longitude information
Answer: B
Explanation:
The correct answer is C, create a geolocation custom field to maintain this requirement. A geolocation custom field is a compound field that can store both latitude and longitude information in a single field. It also supports geolocation functions and distance calculations. Creating formula fields or custom fields for latitude and longitude separately would be inefficient and redundant. Recommending app exchange packages would not be a direct solution to the requirement.
NEW QUESTION # 138
US has released a new disaster recovery (DR)policy that states that cloud solutions need a business continuity plan in place separate from the cloud providers built in data recovery solution.
Which solution should a data architect use to comply with the DR policy?
- A. Write a custom batch job to extract data changes nightly, and store in an external protected system.
- B. Leverage a 3rd party tool that extract salesforce data/metadata and stores the information in an external protected system.
- C. Leverage salesforce weekly exports, and store data in Flat files on a protected system.
- D. Utilize an ETL tool to migrate data to an on-premise archive solution.
Answer: B
NEW QUESTION # 139
......
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