2023 Data-Architect Dumps PDF - Data-Architect Real Exam Questions Answers

Valid Data-Architect Test Answers & Salesforce Data-Architect Exam PDF

Salesforce Data-Architect Certification Exam comprises scenarios that assess the candidate's ability to design, develop, and implement data solutions using Salesforce tools and technologies. Data-Architect exam tests the candidate's knowledge of data modeling, data integration, data migration, data governance, and data security. Candidates are expected to have a deep understanding of Salesforce's data architecture and its application to real-world business scenarios. They must also be proficient in using tools such as Salesforce Data Loader, Salesforce Connect, and Salesforce Shield.

 

NEW QUESTION # 49
The architect is planning a large data migration for Universal Containers from their legacy CRM system to Salesforce. What three things should the architect consider to optimize performance of the data migration? Choose 3 answers

• A. Deactivate approval processes and workflow rules.
• B. Review the time zones of the User loading the data.
• C. Defer sharing calculations of the Salesforce Org.
• D. Determine if the legacy system is still in use.
• E. Remove custom indexes on the data being loaded.

Answer: A,C,E

Explanation:
Removing custom indexes on the data being loaded will prevent unnecessary index maintenance and improve the data load speed. Deferring sharing calculations of the Salesforce Org will avoid frequent sharing rule evaluations and reduce the load time. Deactivating approval processes and workflow rules will prevent triggering any automation logic that might slow down or fail the data load.

NEW QUESTION # 50
NTO has decided that it is going to build a channel sales portal with the following requirements:
1. External resellers are able to authenticate to the portal with a login.
2. Lead data, opportunity data and order data are available to authenticated users.
3. Authenticated users many need to run reports and dashboards.
4. There is no need for more than 10 custom objects or additional file storage.
Which community cloud license type should a data architect recommend to meet the portal requirements?

• A. Partner community.
• B. Customer community plus.
• C. Lightning external apps starter.
• D. Customer community.

Answer: A

Explanation:
Partner community license type is the best option for building a channel sales portal, as it allows external resellers to access lead, opportunity, and order data, as well as run reports and dashboards. Customer community and customer community plus license types are more suitable for customer service portals, while lightning external apps starter license type does not support reports and dashboards

NEW QUESTION # 51
Northern Trail Outfitters needs to implement an archive solution for Salesforce dat a. This archive solution needs to help NTO do the following:
1. Remove outdated Information not required on a day-to-day basis.
2. Improve Salesforce performance.
Which solution should be used to meet these requirements?

• A. Use a formula field that shows true when a record reaches a defined age and use that field to run a report and export a report into SharePoint.
• B. Identify a location to store archived data and use scheduled batch jobs to migrate and purge the aged data on a nightly basis,
• C. Create a full copy sandbox, and use it as a source for retaining archived data.
• D. Identify a location to store archived data, and move data to the location using a time-based workflow.

Answer: B

Explanation:
Identifying a location to store archived data and using scheduled batch jobs to migrate and purge the aged data on a nightly basis can be a way to meet the requirements for an archive solution. The article provides a use case of how to use Heroku Connect, Postgres, and Salesforce Connect to archive old data, free up space in the org, and still retain the option to unarchive the data if needed. The article also explains how this solution can improve Salesforce performance and meet data retention policies.

NEW QUESTION # 52
A large automobile company has implemented Salesforce for its sales associates. Leads flow from its website to Salesforce using a batch integration in Salesforce. The batch job converts the leads to Accounts in Salesforce. Customers visiting their retail stores are also created in Salesforce as Accounts.
The company has noticed a large number of duplicate Accounts in Salesforce. On analysis, it was found that certain customers could interact with its website and also visit the store. The sales associates use Global Search to search for customers in Salesforce before they create the customers.
Which option should a data architect choose to implement to avoid duplicates?

• A. leverage duplicate rules in Salesforce to validate duplicates during the account creation process.
• B. Develop an Apex class that searches for duplicates and removes them nightly.
• C. Build a custom search functionality that allows sales associates to search for customer in real time upon visiting their retail stores.
• D. Implement an MDM solution to validate the customer information before creating Salesforce.

Answer: A

Explanation:
Leveraging duplicate rules in Salesforce to validate duplicates during the account creation process (option A) is the best option to implement to avoid duplicates, as it allows the sales associates to identify and merge duplicate accounts before they are saved. Developing an Apex class that searches for duplicates and removes them nightly (option B) is not a good option, as it may cause data loss or conflicts, and it does not prevent duplicates from being created in the first place. Implementing an MDM solution to validate the customer information before creating Salesforce (option C) is also not a good option, as it may introduce additional complexity and cost, and it does not address the issue of customers interacting with both the website and the store. Building a custom search functionality that allows sales associates to search for customer in real time upon visiting their retail stores (option D) is also not a good option, as it may not be reliable or user-friendly, and it does not leverage the existing Global Search feature.

NEW QUESTION # 53
Universal Containers (CU) is in the process of implementing an enterprise data warehouse (EDW). UC needs to extract 100 million records from Salesforce for migration to the EDW.
What data extraction strategy should a data architect use for maximum performance?

• A. Use the Bulk API in parallel mode.
• B. Install a third-party AppExchange tool.
• C. Utilize PK Chunking with the Bulk API.
• D. Call the REST API in successive queries.

Answer: C

NEW QUESTION # 54
Universal Containers is looking to use Salesforce to manage their sales organization. They will be migrating legacy account data from two aging systems into Salesforce. Which two design considerations should an architect take to minimize data duplication? Choose 2 answers

• A. Use a workflow to check and prevent duplicates.
• B. Use Salesforce matching and duplicate rules.
• C. Import the data concurrently.
• D. Clean data before importing to Salesforce.

Answer: B,D

NEW QUESTION # 55
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. Maintain a data dictionary with the justification for each field.
• B. Review the setup audit trail for configuration changes.
• C. Put the business purpose in the Description of each field.
• D. Use the Force.com IDE to save the metadata files in source control.

Answer: A,C

NEW QUESTION # 56
Universal Containers has provided a web order form for its customer and has noticed invalid data coming in on orders.
What should be used to mitigate this problem?

• A. Formatted Fields
• B. Work Flow Rules
• C. Apex Trigger
• D. Validation Rules

Answer: D

NEW QUESTION # 57
Universal Containers (UC) is building a Service Cloud call center application and has a multisystem support solution. UC would like or ensure that all systems have access to the same customer information.
What solution should a data architect recommend?

• A. Make Salesforce the system of record for all data.
• B. Load customer data in all systems.
• C. Let each system be an owner of data it generates.
• D. Implement a master data management (MDM) strategy for customer data.

Answer: D

Explanation:
A master data management (MDM) strategy for customer data can help UC ensure that all systems have access to the same customer information, without loading or duplicating data in all systems. An MDM strategy can also help UC avoid data conflicts and inconsistencies that may arise from having multiple systems as owners of data.

NEW QUESTION # 58
To avoid creating duplicate Contacts, a customer frequently uses Data Loader to upsert Contact records into Salesforce. What common error should the data architect be aware of when using upsert?

• A. Errors with using the wrong external Id will cause the load to fail.
• B. Errors with records being updated and inserted in the same CSV file.
• C. Errors with duplicate external Id values within the same CSV file.
• D. Errors when a duplicate Contact name is found cause upsert to fail.

Answer: C

Explanation:
Data Loader uses external Id fields to match records in the CSV file with records in Salesforce during an upsert operation. If the CSV file contains duplicate external Id values within the same file, Data Loader will throw an error saying "Duplicate Id Specified" and will not process those records. Therefore, it is important to ensure that the CSV file does not have any duplicate external Id values before using Data Loader to upsert records.

NEW QUESTION # 59
Universal Containers is experiencing frequent and persistent group membership locking issues that severely restricts its ability to manage manual and a automated updates at the same time.
What should a data architect do in order to restore the issue?

• A. Enable parallel sharing rule calculation.
• B. Enable defer sharing calculation
• C. Enable implicit sharing
• D. Enable granular locking

Answer: D

Explanation:
Enabling granular locking allows concurrent sharing rule calculations and group membership updates to run without locking each other1. This can help resolve the group membership locking issues that UC is experiencing.

NEW QUESTION # 60
An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?

• A. Sort batches by Name field values.
• B. Group batches by the AccountId field.
• C. Create indexes on Opportunity object text fields.
• D. Order batches by Auto -number field.

Answer: D

Explanation:
Ordering batches by Auto-number field will ensure that the records are processed in a sequential order and avoid any locking issues that might occur when loading related records in parallel mode. Creating indexes, grouping batches by AccountId, or sorting batches by Name field values are not necessary or beneficial for loading Opportunity records using the Bulk API.

NEW QUESTION # 61
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?

• A. Develop a bidirectional integration between the on-premise system and Salesforce.
• B. Build a UI for the on-premise system and iframe it in Salesforce
• C. Migrate and persist the data in SF to take advantage of native functionality.
• D. Use SF Connect to virtualize the data in SF and avoid storage limits.

Answer: D

Explanation:
The best design pattern to satisfy the requirement of accessing order data from an on-premise database with REST API access without consuming SF storage limits is to use SF Connect to virtualize the data in SF and avoid storage limits. SF Connect is an integration tool that allows users to access and integrate data from external sources using external objects. External objects are similar to custom objects, except that the data resides in another system and is accessed in real time via web service callouts. SF Connect supports various adapters to connect to different types of external data sources, such as OData, cross-org, or Apex custom adapter11. Migrate and persist the data in SF to take advantage of native functionality is not a good option because it would consume SF storage limits and require data synchronization between systems. Develop a bidirectional integration between the on-premise system and Salesforce is not a good option because it would be complex and costly to implement and maintain, and it would also consume SF storage limits. Build a UI for the on-premise system and iframe it in Salesforce is not a good option because it would not provide a seamless user experience and it would not allow users to search, report, or perform actions on the external data.

NEW QUESTION # 62
UC has a variety of systems across its technology landscape, including SF, legacy enterprise resource planning (ERP) applications and homegrown CRM tools. UC has decided that they would like to consolidate all customer, opportunity and order data into Salesforce as part of its master data management (MDM) strategy.
What are the 3 key steps that a data architect should take when merging data from multiple systems into Salesforce? Choose 3 answers:

• A. Utilize an ETL tool to merge, transform and de-duplicate data.
• B. Analyze each system's data model and perform gap analysis
• C. Work with Stakeholders to define record and field survivorship rules
• D. Install a 3rd party AppExchange tool to handle the merger
• E. Create new fields to store additional values from all the systems.

Answer: A,B,C

Explanation:
The three key steps that a data architect should take when merging data from multiple systems into Salesforce are:
Analyze each system's data model and perform gap analysis. This step involves understanding the structure and meaning of the data in each system, identifying the common and unique data elements, and mapping the data fields between the systems. This step also involves assessing the quality and consistency of the data, and identifying any data cleansing or transformation needs.
Utilize an ETL tool to merge, transform, and de-duplicate data. This step involves using an ETL tool to connect to the source systems, extract the data, apply any data transformations or validations, and load the data into Salesforce. This step also involves applying de-duplication rules or algorithms to avoid creating duplicate records in Salesforce.
Work with stakeholders to define record and field survivorship rules. This step involves collaborating with the business users and owners of the data to determine which records and fields should be retained or overwritten in case of conflicts or discrepancies. This step also involves defining the criteria and logic for record and field survivorship, and implementing them in the ETL tool or in Salesforce.
Creating new fields to store additional values from all the systems is not a key step, but rather a possible outcome of the gap analysis. It may not be necessary or desirable to create new fields for every value from every system, as it may result in redundant or irrelevant data. Installing a 3rd party AppExchange tool to handle the merger is not a key step, but rather a possible option for choosing an ETL tool. It may not be the best option depending on the requirements, budget, and preferences of the organization.

NEW QUESTION # 63
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?

• A. Lightning Platform plus
• B. Service Cloud
• C. Lightning platform Start
• D. Lightning External Apps Starts

Answer: A

NEW QUESTION # 64
Company S was recently acquired by Company T. As part of the acquisition, all of the data for the Company S's Salesforce instance (source) must be migrated into the Company T's Salesforce instance (target). Company S has 6 million Case records.
An Architect has been tasked with optimizing the data load time.
What should the Architect consider to achieve this goal?

• A. Pre-process the data, then use Data Loader with SOAP API to upsert with zip compression enabled.
• B. Load the data in multiple sets using Bulk API parallel processes.
• C. Utilize the Salesforce Org Migration Tool from the Setup Data Management menu.
• D. Directly leverage Salesforce-to-Salesforce functionality to load Case data.

Answer: A

NEW QUESTION # 65
North Trail Outfitters (NTD) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly.
Which two native tools should a data architect recommend to achieve this reporting requirement?

• A. Standard reports and dashboards
• B. Einstein Analytics
• C. Async SOQL with a custom object
• D. Standard SOQL queries

Answer: B,C

NEW QUESTION # 66
Universal Containers (UC) has a data model as shown in the image. The Project object has a private sharing model, and it has Roll -Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project. What should the architect consider, knowing there will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.com?

• A. Use triggers to calculate summary values instead of Roll -Up.
• B. Load all data using external IDs to link to parent records.
• C. Load all data after deferring sharing calculations.
• D. Use workflow to calculate summary values instead of Roll -Up.

Answer: C

NEW QUESTION # 67
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