Data-Architect PDF Exam Material 2024 Realistic Data-Architect Dumps Questions
Updated Salesforce Data-Architect Dumps – PDF & Online Engine
NEW QUESTION # 156
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?
- A. Bidirectional integration
- B. Virtualization
- C. Unidirectional integration
- D. Persistence
Answer: D
Explanation:
Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems. You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.
NEW QUESTION # 157
Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?
- A. Leverage validation rules and workflows.
- B. Leverage picklist and lookup fields where possible
- C. Leverage Apex to validate the format of data being entered via a mobile device.
- D. Leverage third-party- AppExchange tools
Answer: A,B
Explanation:
According to the Salesforce documentation1, data quality is the measure of how well the data in Salesforce meets the expectations and requirements of the users and stakeholders. Data quality can be affected by various factors, such as data entry errors, data duplication, data inconsistency, data incompleteness, data timeliness, etc. To mitigate data quality issues, some of the recommended solutions are:
Leverage picklist and lookup fields where possible (option A). This means using fields that restrict the values or references that can be entered by the users or integrations. This can help reduce data entry errors, enforce data consistency, and improve data accuracy.
Leverage validation rules and workflows (option C). This means using features that allow defining rules and criteria to validate the data that is entered or updated by the users or integrations. This can help prevent invalid or incorrect data from being saved, and trigger actions or alerts to correct or improve the data.
Leveraging Apex to validate the format of data being entered via a mobile device (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It is better to use standard features or declarative tools that can handle data validation more effectively. Leveraging third-party AppExchange tools (option D) is also not a good solution, as it can incur additional costs and dependencies. It is better to use native Salesforce features or custom solutions that can handle data quality more efficiently.
NEW QUESTION # 158
UC has a legacy client server app that as a relational data base that needs to be migrated to salesforce.
What are the 3 key actions that should be done when data modeling in salesforce?
Choose 3 answers:
- A. Map legacy data to salesforce objects.
- B. Map legacy data to salesforce custom objects.
- C. Implement legacy data model within salesforce using custom fields.
- D. Work with legacy application owner to analysis legacy data model.
- E. Identify data elements to be persisted in salesforce.
Answer: A,C,E
NEW QUESTION # 159
UC is planning a massive SF implementation with large volumes of data. As part of the org's implementation, several roles, territories, groups, and sharing rules have been configured. The data architect has been tasked with loading all of the required data, including user data, in a timely manner.
What should a data architect do to minimize data load times due to system calculations?
- A. Enable defer sharing calculations, and suspend sharing rule calculations
- B. Leverage the Bulk API and concurrent processing with multiple batches
- C. Enable granular locking to avoid "UNABLE _TO_LOCK_ROW" error.
- D. Load the data through data loader, and turn on parallel processing.
Answer: A
Explanation:
The correct answer is A, enable defer sharing calculations, and suspend sharing rule calculations. Defer sharing calculations and suspend sharing rule calculations are features that allow you to temporarily disable the automatic recalculation of sharing rules when you load large volumes of data. This can improve the performance and speed of your data load process by avoiding unnecessary system calculations. Loading the data through data loader, leveraging the bulk API, or enabling granular locking are also options that can help with data load times, but they do not directly address the system calculations issue.
NEW QUESTION # 160
Ursa Major Solar's legacy system has a quarterly accounts receivable report that compiles data from the following:
- Accounts
- Contacts
- Opportunities
- Orders
- Order Line Items
Which issue will an architect have when implementing this in Salesforce?
- A. A report CANNOT contain data from Accounts and Contacts.
- B. Salesforce does NOT allow more than four objects in a single report type.
- C. Salesforce does NOT support Orders or Order Line Items.
- D. Custom report types CANNOT contain Opportunity data.
Answer: B
NEW QUESTION # 161
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. Create custom fields to maintain latitude and longitude information
- B. Create a geolocation custom field to maintain this requirement
- C. Create formula fields with geolocation function for this requirement.
- D. Recommend app exchange packages to support this requirement.
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 # 162
Universal Containers has a large volume of Contact data going into Salesforce.com. There are 100,000 existing contact records. 200,000 new contacts will be loaded. The Contact object has an external ID field that is unique and must be populated for all existing records. What should the architect recommend to reduce data load processing time?
- A. Delete all existing records, and then load all records together via the Insert operation.
- B. Load new records via the Insert operation and existing records via the Update operation.
- C. Load all records via the Upsert operation to determine new records vs. existing records.
- D. Load Contact records together using the Streaming API via the Upsert operation.
Answer: B
Explanation:
Loading new records via the Insert operation and existing records via the Update operation will allow using the external ID field as a unique identifier and avoid any duplication or overwriting of records. This is faster and safer than deleting all existing records or using the Upsert operation, which might cause conflicts or errors .
NEW QUESTION # 163
NTO has outgrown its current salesforce org and will be migrating to new org shortly. As part of this process NTO will be migrating all of its metadata and dat a. NTO's data model in the source org has a complex relationship hierarchy with several master detail and lookup relationships across objects, which should be maintained in target org.
What 3 things should a data architect do to maintain the relationship hierarchy during migration?
Choose 3 answers:
- A. Redefine the master detail relationship fields to lookup relationship fields in the target org.
- B. Use data loader to export the data from source org and then import or Upsert into the target org in sequential order.
- C. Create a external id field for each object in the target org and map source record ID's to this field.
- D. Keep the relationship fields populated with the source record ID's in the import file.
- E. Replace source record ID's with new record ID's from the target org in the import file.
Answer: B,C,E
NEW QUESTION # 164
Universal Containers has two systems. Salesforce and an on -premise ERP system. An architect has been tasked with copying Opportunity records to the ERP once they reach a Closed/Won Stage. The Opportunity record in the ERP system will be read-only for all fields copied in from Salesforce. What is the optimal real-time approach that achieves this solution?
- A. Have the ERP poll Salesforce nightly and bring in the desired Opportunities.
- B. Implement a workflow rule that sends Opportunity data through Outbound Messaging.
- C. Implement an hourly integration to send Salesforce Opportunities to the ERP system.
- D. Implement a Master Data Management system to determine system of record.
Answer: B
NEW QUESTION # 165
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.
What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?
- A. Create a custom picklist field to capture classification of information on customer.
- B. Use data classification metadata fields available in field definition.
- C. Build reports for customer information and validate.
- D. Use App Exchange products to classify fields based on policy.
Answer: B
NEW QUESTION # 166
Universal Containers (UC) has implemented Salesforce, UC is running out of storage and needs to have an archiving solution, UC would like to maintain two years of data in Saleforce and archive older data out of Salesforce.
Which solution should a data architect recommend as an archiving solution?
- A. Build a batch join move all records off platform, and delete all records from Salesforce.
- B. Build a batch join to move two-year-old records off platform, and delete records from Salesforce.
- C. Build a batch job to move all restore off platform, and delete old records from Salesforce.
- D. Use a third-party backup solution to backup all data off platform.
Answer: D
NEW QUESTION # 167
UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application.
Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answers.
- A. Use picklist fields rather than lookup to custom object.
- B. Assign 10000 opportunities to one account.
- C. Limit assigning one user 10000 records ownership.
- D. Limit associating 10000 records looking up to same records.
- E. Limit associating 10000 opportunities to one account.
Answer: C,D,E
Explanation:
Data skew occurs when a large number of child records are associated with a single parent record, or when a single user owns a large number of records. This can cause performance issues and lock contention. To avoid data skew, the data architect should limit assigning one user 10,000 records ownership, limit associating
10,000 opportunities to one account, and limit associating 10,000 records looking up to the same record
NEW QUESTION # 168
Which API should a data architect use if exporting 1million records from Salesforce?
- A. REST API
- B. Bulk API
- C. SOAP API
- D. Streaming API
Answer: B
NEW QUESTION # 169
As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.
What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?
- A. Create a custom picklist field to capture classification of information on customer.
- B. Use data classification metadata fields available in field definition.
- C. Build reports for customer information and validate.
- D. Use App Exchange products to classify fields based on policy.
Answer: B
Explanation:
The correct answer is B, use data classification metadata fields available in field definition. Data classification metadata fields are standard fields that allow you to classify the sensitivity level of your data based on your organization's policies. You can use these fields to indicate whether a field contains confidential, restricted, or general data. These fields are available for both standard and custom objects in Salesforce. Using app exchange products, creating a custom picklist field, or building reports would not be as effective or consistent as using data classification metadata fields.
NEW QUESTION # 170
DreamHouse Realty has a Salesforce deployment that manages Sales, Support, and Marketing efforts in a multi-system ERP environment. The company recently reached the limits of native reports and dashboards and needs options for providing more analytical insights.
What are two approaches an Architect should recommend? (Choose two.)
- A. AppExchange Apps
- B. Setup Audit Trails
- C. Weekly Snapshots
- D. Einstein Analytics
Answer: A,D
Explanation:
Einstein Analytics can provide more analytical insights than native reports and dashboards by allowing users to explore data from multiple sources, create interactive visualizations, and apply AI-powered features5. AppExchange Apps can also provide more analytical insights by offering pre-built solutions or integrations with external tools that can enhance the reporting and analytics capabilities of Salesforce6.
NEW QUESTION # 171
Universal Containers (UC) is implementing a formal, cross -business -unit data governance program As part of the program, UC will implement a team to make decisions on enterprise -wide data governance. Which two roles are appropriate as members of this team? Choose 2 answers
- A. Salesforce Administrators
- B. Data Domain Stewards
- C. Analytics/BI Owners
- D. Operational Data Users
Answer: B,C
Explanation:
Analytics/BI Owners and Data Domain Stewards are appropriate roles as members of a team that makes decisions on enterprise-wide data governance. Analytics/BI Owners are responsible for defining the business requirements and metrics for data analysis and reporting, and Data Domain Stewards are responsible for defining and enforcing the data quality standards and rules for specific data domains. Salesforce Administrators and Operational Data Users are not suitable roles for this team, as they are more focused on the operational aspects of data management, such as configuration, maintenance, and usage.
NEW QUESTION # 172
Universal Containers (UC) has implemented Sales Cloud and it has been noticed that Sales reps are not entering enough data to run insightful reports and dashboards. UC executives would like to monitor and measure data quality metrics. What solution addresses this requirement?
- A. Use third-party AppExchange tools to monitor and measure data quality.
- B. Export the data to an enterprise data warehouse and use BI tools for data quality.
- C. Generate reports to view the quality of sample data.
- D. Use custom objects and fields to calculate data quality.
Answer: A
NEW QUESTION # 173
UC recently migrated 1 Billion customer related records from a legacy data store to Heroku Postgres. A subset of the data need to be synchronized with salesforce so that service agents are able to support customers directly within the service console. The remaining non- synchronized set of data will need to be accessed by salesforce at any point in time, but UC management is concerned about storage limitations.
What should a data architect recommend to meet these requirements with minimal effort?
- A. As needed, make call outs into Heroku postgres and persist the data in salesforce.
- B. Migrate the data to big objects and leverage async SOQL with custom objects.
- C. Virtualize the remaining set of data with salesforce connect and external objects.
- D. Use Heroku connect to bi-directional, sync all data between systems.
Answer: C
Explanation:
Virtualizing the remaining set of data with salesforce connect and external objects is the best way to meet the requirements with minimal effort, as it allows salesforce to access data stored in Heroku Postgres without storing it in salesforce. This reduces the storage limitations and avoids data duplication. Heroku connect can bi-directionally sync data between systems, but it requires more configuration and maintenance. Making callouts to Heroku Postgres and persisting the data in salesforce may not be feasible for 1 billion records. Migrating the data to big objects may incur additional costs and require custom code to use async SOQL
NEW QUESTION # 174
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