Question

Universal Containers (UC) is in the process of selling half of its company. As part of this split, UC’s main Salesforce org will be divided into two orgs: Org A and Org B. UC has delivered these requirements to its data architect:

1. The data model for Org B will drastically change with different objects, fields, and picklist values.
2. Three million records will need to be migrated from Org A to Org B for compliance reasons.
3. The migration will need occur within the next two months, prior to the spilt.

Which Migration strategy should a data architect use to successfully migrate the data?

A. Use an Etl Tool to orchestrate the migration.
B. Write a script to use the Bulk API.
C. Use the Salesforce CLI to query, export, and import.
D. Use Data Loader for export and Data Import Wizard for import.

Answer

B. Write a script to use the Bulk API.

Explanation 1

To successfully migrate three million records from Org A to Org B within the next two months, prior to the split of Universal Containers’ (UC) main Salesforce org, the recommended migration strategy for the data architect is option A: Use an ETL (Extract, Transform, Load) Tool to orchestrate the migration.

Here’s a detailed explanation for why this option is the correct choice:

A. Use an ETL tool to orchestrate the migration:
Using an ETL tool provides a robust and efficient approach to handle data migration between two Salesforce orgs with different data models. ETL tools are specifically designed to extract data from a source system, transform it according to predefined mappings and rules, and load it into a target system. With the data model for Org B drastically changing, an ETL tool can handle the necessary transformations and mapping requirements to ensure a successful migration.

The ETL tool allows for flexibility in defining mappings between objects, fields, and picklist values in Org A and Org B. It can handle complex data transformations, data cleansing, and data validation as needed during the migration process. ETL tools also provide features for managing large data volumes and can handle the migration of three million records efficiently.

Option B, writing a script to use the Bulk API, is a viable option if the data migration process requires more granular control or customization. However, it would require significant development effort and might be less efficient compared to using an ETL tool that is specifically designed for data migration and transformation tasks.

Option C, using the Salesforce CLI to query, export, and import, is suitable for smaller-scale data migrations or when scripting and automation are preferred. However, for a migration of three million records, an ETL tool provides a more comprehensive and efficient solution, particularly considering the requirement for data model changes in Org B.

Option D, using Data Loader for export and Data Import Wizard for import, is more suitable for smaller data sets or one-time data transfers. Given the volume of three million records and the need for ongoing compliance reasons, using Data Loader and Data Import Wizard would be less efficient and require manual effort.

Therefore, the recommended migration strategy for the data architect to successfully migrate three million records from Org A to Org B within the next two months is to use an ETL tool to orchestrate the migration (option A). This approach provides flexibility, scalability, and efficiency in handling the data transformation and migration requirements between the two orgs.

Explanation 2

The most effective strategy for this scenario would be option A: Use an ETL (Extract, Transform, Load) tool to orchestrate the migration.

Given the complexity of the task, an ETL tool would be the most suitable choice. ETL tools are designed to handle large-scale data migrations and transformations, which is exactly what Universal Containers needs.

Here’s why:

1. The data model for Org B will drastically change with different objects, fields, and picklist values: ETL tools are designed to handle complex transformations between different data models. They can map fields from one model to another, convert data types, and even handle changes in picklist values.
2. Three million records will need to be migrated from Org A to Org B for compliance reasons: ETL tools are built to handle large volumes of data efficiently. They can extract data from one source, transform it as needed, and load it into another source without compromising the integrity of the data.
3. The migration will need to occur within the next two months, prior to the split: ETL tools can automate the migration process, which can save a significant amount of time. They also provide error handling and logging features, which can help ensure that the migration is completed successfully within the given timeframe.

While options B, C, and D could potentially be used for data migration, they may not be as effective or efficient as an ETL tool given the complexity and scale of this task. Writing a script to use the Bulk API (option B) or using the Salesforce CLI to query, export, and import (option C) would require significant development effort and may not handle complex transformations as effectively. Using Data Loader for export and Data Import Wizard for import (option D) could be time-consuming and may not be suitable for handling large volumes of data or complex transformations.

Therefore, using an ETL tool to orchestrate the migration would be the most effective strategy for this scenario. This approach aligns with the strategic thinking, data-driven decision-making, and attention to detail that are key to successful marketing management.

Explanation 3

The correct answer is A. Use an ETL tool to orchestrate the migration.

Here is a detailed explanation:

• An ETL tool is a tool that allows you to extract, transform, and load data from one source to another。
• ETL tools are commonly used for data migration, data integration, data warehousing, and business intelligence.

This solution meets the requirements because it allows you to use an ETL tool to orchestrate the migration of data from Org A to Org B by following these steps:

• Extract the data from Org A using the appropriate API or connector provided by the ETL tool.
• Transform the data according to the new data model for Org B, such as mapping objects, fields, and picklist values, applying filters, validations, and transformations, etc.
• Load the data into Org B using the appropriate API or connector provided by the ETL tool.

The other options are incorrect because:

• B. Writing a script to use the Bulk API is not recommended, since it requires coding skills, testing, and maintenance, and it may not handle complex transformations or error handling.
• C. Using the Salesforce CLI to query, export, and import is not feasible, since it does not support loading a large volume of records or transforming the data according to a different data model。
• D. Using Data Loader for export and Data Import Wizard for import is not efficient, since it requires manual steps and does not support complex transformations or error handling.

Explanation 4

To migrate data from Org A to Org B, the data architect should use Data Loader for export and Data Import Wizard for import. Data Loader is used to extract data from Org A and Data Import Wizard is used to import data into Org B. The migration will need to occur within the next two months, prior to the split.

Using an ETL tool to orchestrate the migration is not recommended because it is not a native Salesforce tool and may not be able to handle the migration of three million records within two months. Writing a script to use the Bulk API is also not recommended because it requires more development time than using Data Loader and Data Import Wizard. Using the Salesforce CLI to query, export, and import is also not recommended because it requires more development time than using Data Loader and Data Import Wizard.

Explanation 5

To migrate data from Org A to Org B, the data architect should use Data Loader for export and Data Import Wizard for import. This is because the data model for Org B will drastically change with different objects, fields, and picklist values. The Data Loader can export data from Org A and the Data Import Wizard can import data into Org B.

Using an ETL tool to orchestrate the migration is not recommended because it is more complex than using Data Loader and Data Import Wizard. Writing a script to use the Bulk API is also not recommended because it requires more development effort than using Data Loader and Data Import Wizard. Using Salesforce CLI to query, export, and import is not recommended because it is more complex than using Data Loader and Data Import Wizard.

Explanation 6

Explanation 7

According to the Salesforce Certified Data Architecture and Management Designer certification exam guide, one of the objectives of the exam is to demonstrate the ability to design a data migration strategy.

Some of the best practices for data migration in Salesforce are:

• Identify the data you want to migrate and choose which objects to migrate
• Create templates for the data using an excel template for each object
• Populate your templates with clean and accurate data
• Prepare the destination org by creating custom fields to store any legacy ID information or non-standard fields
• Validate the data by creating custom reports, spot checking the data, and reviewing exception reports

Based on these best practices and the requirements of UC, I think the best option for a migration strategy is A. Use an ETL tool to orchestrate the migration.

An ETL tool (extract, transform, load) can help you perform complex transformations on the data model, such as changing objects, fields, and picklist values. It can also help you migrate large volumes of data efficiently and securely. An ETL tool can also provide data quality and validation features to ensure the accuracy and completeness of the migrated data.

Some examples of ETL tools that can be used for Salesforce data migration are Skyvia, Informatica Cloud, or Jitterbit.

Explanation 8

To successfully migrate the data from Org A to Org B, the data architect should use an ETL tool to orchestrate the migration. This strategy will allow for the easy transfer of data between the two orgs while also allowing for the transformation of data to match the new data model for Org B. The ETL tool will also allow for the validation of data and the ability to handle any errors that may arise during the migration process. Writing a script to use the Bulk API (Option B) may be an alternative option but it requires more effort and is less efficient than using an ETL tool. Using the Salesforce CLI to query, export, and import (Option C) is not ideal for large data migrations and can be time-consuming. The Data Loader for export and Data Import Wizard for import (Option D) can be used, but it may not be the best option for large data migrations as it can be slower and has limitations in terms of data transformation.

Explanation 9

Explanation 10

A. Use an ETL tool to orchestrate the migration.

Given the requirements provided by Universal Containers, a data architect should use an ETL (Extract, Transform, Load) tool to orchestrate the migration between Org A and Org B. This approach is beneficial because ETL tools can handle large data volumes and provide the flexibility needed to modify the data model, transform records, and manipulate picklist values during the migration process to meet the requirements of Org B.

Option B (Write a script to use the Bulk API) may be possible but would require significant development effort and potentially more time than is available for this project, with only two months until the split.

Option C (Use the Salesforce CLI to query, export, and import) is not the most effective solution for this scenario, as it may not provide the level of data transformation needed to handle the drastic data model changes between Org A and Org B.

Option D (Use Data Loader for export and Data Import Wizard for import) may not be suitable for this case due to the large number of records and the complexity of the data model transformations required. Both tools have limitations when it comes to handling complex data migration scenarios, especially when migrating between orgs with significantly different data models.

Explanation 11

Reference

• Best practices when you migrate data (salesforce.com)
• 3 Steps for a Successful Salesforce Data Migration | Salesforce Ben
• Salesforce Data Migration Best Practices (skyvia.com)
• What Is Data Migration in Salesforce and How Does It Help? (autorabit.com)
• What is Salesforce Data Migration? | Learn the steps to set it up (algoworks.com)
• Salesforce Org Migrations overview
• Migrate data from one organization to another (salesforce.com)
• How to Prepare for an Org Migration (salesforce.com)
• Top 10 ETL Tools for Salesforce Data Migration 2021 (suyati.com)
• Our Top 5 Preferred Tools for Salesforce Data Migration – SkyPlanner (theskyplanner.com)
• Best practices for migrating legacy data into Salesforce | by Pooja Karan | Medium
• Salesforce Data Migration Tools | Astrea IT Services

Salesforce Certified Data Architect certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Salesforce Certified Data Architect exam and earn Salesforce Certified Data Architect certification.

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