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| Section | Objectives |
|---|---|
| Topic 1: Salesforce Data Model and Platform Capabilities | - Standard and custom objects - Reporting and analytics considerations - Relationships and schema design |
| Topic 2: Data Migration | - Data migration strategies and planning - Data cleansing and transformation |
| Topic 3: Data Architecture and Design | - Data modeling best practices in Salesforce - Conceptual and logical data modeling - Handling large data volume and scalability considerations |
| Topic 4: Data Integration | - API-based integration approaches - ETL vs ELT strategies - Integration patterns in Salesforce |
| Topic 5: Data Management | - Data quality management - Master data management (MDM) concepts - Data governance principles |
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NEW QUESTION # 52
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?
Answer: B
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. 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.
Asking SF support to increase the query timeout value is not feasible because query timeout values are not configurable
NEW QUESTION # 53
Universal Containers is creating a new B2C service offering for consumers to ship goods across continents. This is in addition to their well-established B2B offering. Their current Salesforce org uses the standard Account object to track B2B customers. They are expecting to have over
50,000,000 consumers over the next five years across their 50 business regions. B2C customers will be individuals. Household data is not required to be stored. What is the recommended data model for consumer account data to be stored in Salesforce?
Answer: A
Explanation:
The recommended data model for consumer account data to be stored in Salesforce is to use the Account object with Person Accounts and a new B2C page layout. Person Accounts are a special type of accounts that allow you to store information about individual consumers who are not associated with a business account. Person Accounts have the following advantages:
They allow you to use the same standard objects and features that you use for business accounts, such as contacts, opportunities, cases, etc.
They enable you to create different page layouts and record types for B2C and B2B customers, which allows you to customize the user interface and business logic for each segment.
They support large data volumes and can scale up to 50 million records or more, which meets the expected growth of consumers over the next five years.
NEW QUESTION # 54
UC has large amount of orders coming in from its online portal. Historically all order are assigned to a generic user. Which 2 measures should data architect recommend to avoid any performance issues while working with large number of order records? Choose 2 answer
Answer: A,D
Explanation:
Clearing the role field in the generic user record and creating a role at the top of the role hierarchy and assigning it to the generic user are two measures that can help avoid performance issues while working with large number of order records. These measures can prevent data skew and lock contention that may occur when a single user owns or shares a large number of records
NEW QUESTION # 55
Universal Containers (UC) needs to move millions of records from an external enterprise resource planning (ERP) system into Salesforce. What should a data architect recommend to be done while using the Bulk API in serial mode instead of parallel mode?
Answer: D
Explanation:
According to this article, inserting 1 million orders distributed across a variety of accounts with potential lock exceptions is a scenario where using the Bulk API in serial mode can help to prevent the lock contention issue that can occur in parallel mode.
NEW QUESTION # 56
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: C
Explanation:
According to the Salesforce documentation, 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 records.
NEW QUESTION # 57
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