[2024年03月08日] 合格させるSalesforce Data-Architect試験情報と無料練習テスト
Data-Architect試験問題集PDF更新された問題集にはGoShiken試験合格保証付き
Salesforce Data-Architect試験は、Salesforceに関連するデータモデリング、データ統合、およびデータ管理における熟練度を確立したい人に最適です。この認定を取得することで、プラットフォームの機能、データモデリング、データ管理、データ統合、およびメトリックとデータ分析の重要性を理解していることが証明されます。
質問 # 23
Northern Trail Outfitters Is planning to build a consent form to record customer authorization for marketing purposes.
What should a data architect recommend to fulfill this requirement?
- A. Use AppExchange solution to address the requirement.
- B. Utilize the Authorization Form Consent object to capture the consent.
- C. Use custom fields to capture the authorization details.
- D. Create a custom object to maintain the authorization.
正解：B
解説：
The Authorization Form Consent object is a standard object that allows you to capture customer consent for marketing purposes. It has fields such as Consent Captured Date, Consent Captured Source, Consent Description, and Consent Status. You can use this object to create consent forms and track customer responses. This is the best option to fulfill the requirement, as it does not require any custom development or external solution.
質問 # 24
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. Validation Rules
- C. Apex Trigger
- D. Work Flow Rules
正解：B
質問 # 25
Universal Containers has more than 10 million records in the Order_c object. The query has timed out when running a bulk query. What should be considered to resolve query timeout?
- A. Streaming API
- B. Tooling API
- C. Metadata API
- D. PK Chunking
正解：D
解説：
PK Chunking can resolve query timeout when running a bulk query on an object with more than 10 million records. PK Chunking is a feature of the Bulk API that splits a query into multiple batches based on the record IDs (primary keys) of the queried object. This can improve the query performance and avoid timeouts by reducing the number of records processed in each batch.
質問 # 26
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs. "White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?
- A. Change integration to let product master systems update product data directly in Salesforce via the Salesforce API.
- B. Add custom fields to the Product standard object in Salesforce to store data from the different source systems.
- C. Build Apex Triggers in Salesforce that ensure products have the correct names and labels after data is loaded into salesforce.
- D. Define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse.
正解：D
解説：
A correct technique UC should use to solve the data inconsistency is to define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse. A data taxonomy is a hierarchical classification of data entities and attributes that defines their meaning, format, and relationships. A data taxonomy can help ensure consistency, accuracy, and completeness of product data across different systems and channels
質問 # 27
Universal Containers (UC) is a major supplier of office supplies. Some products are produced by UC and some by other manufacturers. Recently, a number of customers have complained that product descriptions on the invoices do not match the descriptions in the online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs. "White" or "blk" vs. "Black"). All product data is consolidated in the company data warehouse and pushed to Salesforce to generate quotes and invoices. The online catalog and webshop is a Salesforce Customer Community solution. What is a correct technique UC should use to solve the data inconsistency?
- A. Change integration to let product master systems update product data directly in Salesforce via the Salesforce API.
- B. Add custom fields to the Product standard object in Salesforce to store data from the different source systems.
- C. Build Apex Triggers in Salesforce that ensure products have the correct names and labels after data is loaded into salesforce.
- D. Define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse.
正解：D
質問 # 28
Universal Container has a Sales Cloud implementation for a sales team and an enterprise resource planning (ERP) as a customer master Sales team are complaining about duplicate account and data quality issues with account data.
Which two solutions should a data architect recommend to resolve the complaints?
- A. Build a nightly sync job from ERP to Salesforce.
- B. Integrate Salesforce with ERP, and make ERP as system of truth.
- C. Implement a de-dupe solution and establish account ownership in Salesforce
- D. Build a nightly batch job to de-dupe data, and merge account records.
正解：B、C
解説：
Integrating Salesforce with ERP and making ERP the system of truth (option B) and implementing a de-dupe solution and establishing account ownership in Salesforce (option D) are the two solutions that a data architect should recommend to resolve the complaints. Option B ensures that account data is consistent and accurate across both systems, while option D prevents duplicate records and clarifies who owns each account in Salesforce. Building a nightly batch job to de-dupe data and merge account records (option A) is not a good solution, as it does not address the root cause of the duplication and may result in data loss or conflicts. Building a nightly sync job from ERP to Salesforce (option C) is also not sufficient, as it does not prevent duplication or establish ownership in Salesforce.
質問 # 29
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. Keep the relationship fields populated with the source record ID's in the import file.
- B. Redefine the master detail relationship fields to lookup relationship fields in the target org.
- C. Use data loader to export the data from source org and then import or Upsert into the target org in sequential order.
- D. Replace source record ID's with new record ID's from the target org in the import file.
- E. Create a external id field for each object in the target org and map source record ID's to this field.
正解：C、D、E
解説：
The correct answer is A, B, and D. To maintain the relationship hierarchy during migration, a data architect should use data loader to export the data from source org and then import or upsert into the target org in sequential order, create an external ID field for each object in the target org and map source record IDs to this field, and replace source record IDs with new record IDs from the target org in the import file. These steps will ensure that the records are linked correctly and the relationships are preserved. Option C is incorrect because redefining the master detail relationship fields to lookup relationship fields in the target org will change the behavior and security of the data model. Option E is incorrect because keeping the relationship fields populated with the source record IDs in the import file will cause errors and prevent the records from being imported.
質問 # 30
A large multinational B2C Salesforce customer is looking to implement their distributor management application is Salesforce. the application has the following capabilities:
1.Distributor create sales order in salesforce
2.Sales order are based on product prices applicable to their region
3. Sales order are closed once they are fulfilled
4. It is decided to maintain the order in opportunity object
How should the data architect model this requirement?
- A. Configure price Books for each region and share with distributors.
- B. Create lookup to Custom Price object and share with distributors.
- C. Add custom fields in Opportunity and use triggers to update prices.
- D. Manually update Opportunities with Prices application to distributors.
正解：A
質問 # 31
A manager at Cloud Kicks is importing Leads into Salesforce and needs to avoid creating duplicate records.
Which two approaches should the manager take to achieve this goal? (Choose two.)
- A. Acquire an AppExchange Lead de-duplication application.
- B. Create a Workflow Rule to check for duplicate records.
- C. Implement Salesforce Matching and Duplicate Rules.
- D. Run the Salesforce Lead Mass de-duplication tool.
正解：A、C
質問 # 32
Universal Containers has a requirement to store more than 100 million records in salesforce and needs to create a custom big object to support this business requirement.
Which two tools should a data architect use to build custom object?
- A. Go to Object Manager in setup and select new to create big object.
- B. Use DX to create big object.
- C. Go to Big Object in setup select new to create big object.
- D. Use Metadata API to create big object.
正解：C、D
解説：
To build a custom big object to support storing more than 100 million records in Salesforce, a data architect should use Metadata API or Big Object in setup. Metadata API is an API that allows developers to create, retrieve, update, or delete metadata components in Salesforce programmatically. Big Object in setup is a user interface that allows admins to create big objects declaratively without writing code. Both tools can be used to define custom big objects and their fields, indexes, and relationships in Salesforce. Option A is incorrect because DX (Developer Experience) is a set of tools that allows developers to create and manage applications on Salesforce Platform, but it does not support creating big objects directly. Option D is incorrect because Object Manager in setup is a user interface that allows admins to create and manage standard and custom objects in Salesforce, but it does not support creating big objects declaratively.
質問 # 33
A casino is implementing salesforce and is planning to build a customer 360 view for a customer who visits its resorts. The casino currently maintained the following systems that records customer activity:
1.Point of sales system: All purchases for a customer.
2.Salesforce: All customer service activity and sales activity for a customer.
3.Mobile app: All bookings, preferences and browser activity for a customer.
4.Marketing: All email, SMS and social campaigns for a customer.
Customer service agents using salesforce would like to view the activities from all system to provide supports to customers. The information has to be current and real time.
What strategy should the data architect implement to satisfy this requirement?
- A. Migrate customer activities from all 4 systems into salesforce.
- B. Periodically upload summary information in salesforce to build 360 view.
- C. Explore external data sources in salesforce to build 360 view of customer.
- D. Use a customer data mart to view the 360 view of customer.
正解：C
解説：
Exploring external data sources in Salesforce to build 360 view of customer is the best strategy to satisfy the requirement, as it allows real-time access to data from other systems without storing it in Salesforce3. Using a customer data mart may not provide real-time information or may require additional integration efforts.
Migrating customer activities from all 4 systems into Salesforce may exceed the storage limits or cause data quality issues. Periodically uploading summary information in Salesforce may not provide current or detailed information.
質問 # 34
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 granular locking
- C. Enable implicit sharing
- D. Enable defer sharing calculation
正解：B
解説：
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.
質問 # 35
Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers.
What solution should a data architect recommend to meet the business requirement?
- A. Archive records to a data warehouse and run analytics on the data warehouse.
- B. Leverage custom objects to store aggregate data and run analytics.
- C. Leverage out-of-the-box reports and dashboard on case and interactive voice response (IVR) custom object.
- D. Leverage big objects to archive records and Einstein Analytics to run reports.
正解：D
質問 # 36
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 custom fields to maintain latitude and longitude information
- C. Create a geolocation custom field to maintain this requirement
- D. Create formula fields with geolocation function for this requirement.
正解：B
質問 # 37
Cloud Kicks currently has a Public Read/Write sharing model for the company's Contacts. Cloud Kicks management team requests that only the owner of a contact record be allowed to delete that contact.
What should an Architect do to meet these requirements?
- A. Check if the current user is NOT the owner by creating a validation rule on the Contact object.
- B. Check if the current user is NOT the owner by creating a "before delete" trigger.
- C. Set the Sharing settings as Public Read Only for the Contact object.
- D. Set the profile of the users to remove delete permission from the Contact object.
正解：B
解説：
Checking if the current user is NOT the owner by creating a "before delete" trigger can meet the requirement of allowing only the owner of a contact record to delete that contact. A trigger is a piece of Apex code that can execute before or after a record is inserted, updated, deleted, or undeleted. A "before delete" trigger can prevent the deletion of a record by using the addError() method.
質問 # 38
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. Put the business purpose in the Description of each field.
- C. Use the Force.com IDE to save the metadata files in source control.
- D. Review the setup audit trail for configuration changes.
正解：B、C
解説：
Option B is correct because putting the business purpose in the Description of each field is a method that an architect can use to trace back configuration changes to the detailed requirements1. The Description of each field provides a brief explanation of what the field is used for and why it is needed2. Option D is correct because using the Force.com IDE to save the metadata files in source control is another method that an architect can use to trace back configuration changes to the detailed requirements1. The Force.com IDE is an integrated development environment that allows developers to work with Salesforce metadata files and Apex code3. Source control is a system that tracks and manages changes to code and configuration files4. Option A is not correct because reviewing the setup audit trail for configuration changes is not a method to trace back configuration changes to the detailed requirements, but a way to monitor and audit the changes made in the setup area. Option C is not correct because maintaining a data dictionary with the justification for each field is not a method to trace back configuration changes to the detailed requirements, but a document that provides information about the data entities and attributes in a system.
質問 # 39
Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision-making. On analysis, the team the following issues with data entered in Salesforce.
Information in certain records is incomplete.
Incorrect entry in certain fields causes records to be excluded in report fitters.
Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?
- A. Explore third-party data providers to enrich and augment information entered in salesforce.
- B. Periodically export data to cleanse data and import them back into Salesforce for executive reports.
- C. Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.
- D. Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.
- E. design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect
正解：A、C、D
解説：
According to the Salesforce documentation3, 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 address the issues with data quality that affect the reliability of executive dashboards, a data architect should recommend:
Building a sales data warehouse with purpose-built data marts for dashboards and senior management reporting (option B). This means creating a separate database or system that stores and organizes sales data from Salesforce and other sources for analytical purposes. A data warehouse can provide a single source of truth for sales data and enable faster and more accurate reporting and analysis. A data mart is a subset of a data warehouse that focuses on a specific subject or business area, such as sales performance, customer segmentation, product profitability, etc. A data mart can provide tailored and relevant data for different users or groups based on their needs and interests.
Exploring third-party data providers to enrich and augment information entered in Salesforce (option C). This means using external services or tools that can validate, correct, update, and enhance the data that is entered or imported into Salesforce. This can help improve data quality and accuracy, and reduce data duplication and incompleteness.
Leveraging Salesforce features, such as validation rules, to avoid incomplete and incorrect records (option D). 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.
Periodically exporting data to cleanse data and import them back into Salesforce for executive reports (option A) is not a good solution, as it can be time-consuming, error-prone, and inefficient. It may also cause data inconsistency and synchronization issues between Salesforce and other systems. Designing and implementing data-quality dashboard to monitor and act on records that are incomplete or incorrect (option E) is also not a good solution, as it can be complex, costly, and difficult to maintain. It may also not address the root causes of data quality issues or prevent them from occurring in the first place.
質問 # 40
Universal Containers (UC) is expecting to have nearly 5 million shipments records in its Salesforce org. Each shipment record has up to 10 child shipment item records. The Shipment custom object has an Organization-wide Default (OWD) sharing model set to Private and the Shipment Item custom object has a Master-Detail relationship to Shipment. There are 25 sharing rules set on the Shipment custom object, which allow shipment records to be shared to each of UC's 25 business areas around the globe. These sharing rules use public groups, one for each business area plus a number of groups for management and support roles. UC has a high turnover of Sales Reps and often needs to move Sales Reps between business areas in order to meet local demand. What feature would ensure that performance, when moving Sales Reps between regions, remains adequate while meeting existing requirements?
- A. Contact Salesforce to enable Defer Sharing Rules
- B. Contact Salesforce to create Skinny tables on Shipment.
- C. Configure shipment OWD to Public Read/Write.
- D. Implement data archiving for old Shipment records.
正解：A
解説：
Contacting Salesforce to enable Defer Sharing Rules is the feature that would ensure that performance, when moving Sales Reps between regions, remains adequate while meeting existing requirements. Defer Sharing Rules allows you to defer sharing rule recalculation when you make changes to public groups or roles that are used in sharing rules. This can improve performance and avoid locking issues when you move users between groups or roles2. Implementing data archiving for old Shipment records will not help with the performance issue related to sharing rules. Contacting Salesforce to create Skinny tables on Shipment will not help with the performance issue related to sharing rules. Configuring shipment OWD to Public Read/Write will not meet the existing requirements of having a Private sharing model.
質問 # 41
Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items.
The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?
- A. 1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.
- B. 1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.
- C. 1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.
- D. 1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.
正解：A
解説：
Option B is the most appropriate approach for data archiving in this scenario1. By aggregating order amount data at a summary level and storing it in a custom object, you can reduce data storage and still provide visibility to the Sales Reps on how much money each customer generates year-over-year. Option A is not correct because storing data in a zip file does not make it available in Salesforce. Option C is not correct because exporting and deleting orders and order line items may lose important details that are needed for analysis or reporting. Option D is not correct because deleting orders and order line items without exporting them may cause data loss or inconsistency if the customer does not have order information in another system.
質問 # 42
Universal Containers wants to implement a data -quality process to monitor the data that users are manually entering into the system through the Salesforce UI. Which approach should the architect recommend?
- A. Utilize a 3rd -party solution from the AppExchange for data uploads.
- B. Allow users to import their data using the Salesforce Import tools.
- C. Utilize an app from the AppExchange to create data -quality dashboards.
- D. Use Apex to validate the format of phone numbers and postal codes.
正解：C
質問 # 43
A customer wishes to migrate 700,000 Account records in a single migration into Salesforce. What is the recommended solution to migrate these records while minimizing migration time?
- A. Use Salesforce Soap API in parallel mode.
- B. Use Salesforce Bulk API in serial mode.
- C. Use Salesforce Soap API in serial mode.
- D. Use Salesforce Bulk API in parallel mode.
正解：D
解説：
Using Salesforce Bulk API in parallel mode can reduce the migration time by processing multiple batches of records simultaneously and leveraging the server resources more efficiently. The Bulk API is designed for loading large amounts of data into Salesforce
質問 # 44
......
あなたを合格させるSalesforce試験にはData-Architect試験問題集：https://www.goshiken.com/Salesforce/Data-Architect-mondaishu.html
Data-Architect試験問題集でSalesforce練習テスト問題：https://drive.google.com/open?id=12Je07c2kGEQ1iPL1sfnpYMdX2uHnNjpF