Go to Data-Architect Questions - Try Data-Architect dumps pdf [Q80-Q101]

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Go to Data-Architect Questions - Try Data-Architect dumps pdf

Dumps Practice Exam Questions Study Guide for the Data-Architect Exam


Salesforce Data-Architect certification exam is a challenging exam that requires extensive knowledge and experience in Salesforce data architecture. Data-Architect exam consists of 60 multiple-choice questions that are designed to test a candidate's knowledge and skills in designing and implementing data architectures using Salesforce. Data-Architect exam is timed, and candidates have three hours to complete the exam. To pass the exam, candidates must score at least 65%.

 

NEW QUESTION # 80
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records.
What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

  • A. Create a Custom Object Individual Consumer c to load all individual consumers.
  • B. Create one Account and load individual consumers as Contacts linked to that one Account.
  • C. Load one Account record and one Contact record for each individual consumer.
  • D. Load all individual consumers as Account records and avoid using the Contact object.

Answer: B

Explanation:
According to the exam guide, one of the objectives is to "describe best practices for implementing a single-org strategy in a B2C scenario"1. This implies that option D is the best practice for loading individual consumers as contacts in Salesforce. This approach avoids creating unnecessary accounts and reduces data duplication.
Option C is not correct because it creates one account per contact, which increases data volume and complexity. Options A and B are not correct because they do not leverage the standard contact object, which provides native functionality and integration with other Salesforce features.


NEW QUESTION # 81
Get Cloud Consulting needs to integrate two different systems with customer records into the Salesforce Account object. So that no duplicate records are created in Salesforce, Master Data Management will be used.
An Architect needs to determine which system is the system of record on a field level.
What should the Architect do to achieve this goal?

  • A. Key stakeholders should review any fields that share the same purpose between systems to see how they will be used in Salesforce.
  • B. Master Data Management systems determine system of record, and the Architect doesn ' t have to think about what data is controlled by what system.
  • C. The database schema for each external system should be reviewed, and fields with different names should always be separate fields in Salesforce.
  • D. Any field that is an input field in either external system will be overwritten by the last record integrated and can never have a system of record.

Answer: A

Explanation:
Key stakeholders from both systems should collaborate with the Architect to determine which system is the system of record on a field level is what the Architect should do to achieve this goal of integrating two different systems with customer records into the Salesforce Account object using Master Data Management.
The system of record is the authoritative source of truth for a given entity or field in a given context. Different systems may have different levels of accuracy, completeness, timeliness, or relevance for different fields.
Therefore, it is important to involve key stakeholders from both systems who have knowledge and expertise about their data quality and business needs to decide which system should be the system of record for each field. The Architect should facilitate this collaboration and document the decisions and rationale for each field. The other options are not correct or feasible, as they would either delegate or abdicate the responsibility of determining the system of record, ignore or disregard the input from key stakeholders, or assume or impose a default system of record without considering the data quality and business needs.


NEW QUESTION # 82
UC has a requirement to migrate 100 million order records from a legacy ERP application into the salesforce platform. UC does not have any requirements around reporting on the migrated data.
What should a data architect recommend to reduce the performance degradation of the platform?

  • A. Implement a custom big object to store the data.
  • B. Use the standard "Order" object to store the data.
  • C. Create a custom object to store the data.
  • D. Use a standard big object defined by salesforce.

Answer: A


NEW QUESTION # 83
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. Apex Trigger
  • B. Formatted Fields
  • C. Work Flow Rules
  • D. Validation Rules

Answer: D


NEW QUESTION # 84
Universal Containers (UC) has three systems: Salesforce, a cloud -based ERP system, and an on -premise Order Management System (OMS). An architect has been tasked with creating a solution that uses Salesforce as the system of record for Leads and the OMS as the system of record for Account and Contacts. UC wants Accounts and Contacts to be able to maintain their names in each system (i.e., "John Doe" in the OMS and "Johnny Doe" in Salesforce), but wants to have a consolidated data store which links referenced records across the systems. What approach should an architect suggest so the requirements are met?

  • A. Have Salesforce poll the OMS nightly and bring in the desired Accounts and Contacts.
  • B. Implement an integration tool to send OMS Accounts and Contacts to Salesforce.
  • C. Use the Streaming API to send Account and Contact data from Salesforce to the OMS.
  • D. Implement a Master Data Management strategy to reconcile Leads, Accounts, and Contacts.

Answer: D

Explanation:
Implementing a Master Data Management strategy to reconcile Leads, Accounts, and Contacts is the approach that the architect should suggest so that the requirements are met for UC. A Master Data Management strategy can provide a consistent and unified view of data across multiple systems, by defining and enforcing rules for data quality, governance, and integration. A Master Data Management strategy can also handle complex scenarios where different systems have different systems of record for different entities or fields, and where data can be modified in different systems with different values. A Master Data Management strategy can also provide a consolidated data store that links referenced records across systems and enables cross-system reporting and analysis. The other options are not suitable or sufficient for meeting the requirements, as they would either not provide a consolidated data store, not handle different systems of record, or not allow data modification in different system


NEW QUESTION # 85
Universal Containers (UC) is going thought major reorganization of their sales team. This would require changes to a large a number of group members and sharing rules. UCs administrator is concerned about long processing time and failure during the process.
What should a Data architect implement to make changes efficiently?

  • A. Enable Defer Sharing Calculation prior to making sharing rule changes.
  • B. Log a case with salesforce to make sharing rule changes.
  • C. Log out all users and make changes to sharing rules.
  • D. Delete old sharing rules and build new sharing rules

Answer: A


NEW QUESTION # 86
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. Load the data through data loader, and turn on parallel processing.
  • B. Leverage the Bulk API and concurrent processing with multiple batches
  • C. Enable defer sharing calculations, and suspend sharing rule calculations
  • D. Enable granular locking to avoid "UNABLE _TO_LOCK_ROW" error.

Answer: C

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 # 87
The data architect for UC has written a SOQL query that will return all records from the Task object that do not have a value in the WhatID field:
Select id, description, Subject from Task where WhatId!= NULL
When the data architect usages the query to select values for a process a time out error occurs.
What does the data architect need to change to make this query more performant?

  • A. Add limit 100 to the query.
  • B. Change query to SOSL.
  • C. Change the where clause to filter by a deterministic defined value.
  • D. Remove description from the requested field set.

Answer: C

Explanation:
According to the Salesforce documentation, SOQL is a query language that allows querying data from Salesforce objects and fields. SOQL queries have various clauses and operators that can be used to filter and sort the results. However, some clauses and operators can affect the performance of SOQL queries by increasing the cost or complexity of executing them.
To make this query more performant, a data architect should change the where clause to filter by a deterministic defined value (option D). This means using a filter condition that specifies a concrete value or range of values for a field, such as WhatId = '001xx000003DGg3' or WhatId IN ('001xx000003DGg3', '001xx000003DGg4'). This can improve the performance of the query by reducing the number of records that need to be scanned and returned. A deterministic defined value can also leverage an index on the field, which can speed up the query execution.
Removing description from the requested field set (option A) is not a good solution, as it can affect the functionality or usability of the query. The description field may contain important or relevant information that is needed for the process. Changing the query to SOSL (option B) is also not a good solution, as SOSL is a different query language that allows searching text fields across multiple objects. SOSL queries have different syntax and limitations than SOQL queries, and may not return the same results or performance. Adding limit 100 to the query (option C) is also not a good solution, as it can affect the completeness or accuracy of the query. The limit clause specifies the maximum number of records that can be returned by the query, which may not include all the records that match the filter condition.


NEW QUESTION # 88
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. Integrate Salesforce with ERP, and make ERP as system of truth.
  • B. Implement a de-dupe solution and establish account ownership in Salesforce
  • C. Build a nightly batch job to de-dupe data, and merge account records.
  • D. Build a nightly sync job from ERP to Salesforce.

Answer: A,B

Explanation:
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.


NEW QUESTION # 89
Which three characteristics of a skinny table help improve report and query performance?

  • A. Skinny tables can contain frequently used fields and thereby help avoid joins.
  • B. Skinny tables provide a view across multiple objects for easy access to combined data.
  • C. Skinny tables do not include records that are available in the recycle bin.
  • D. Skinny tables can be used to create custom indexes on multi-select picklist fields.
  • E. Skinny tables are kept in sync with changes to data in the source tables.

Answer: A,C,E

Explanation:
The three characteristics of a Skinny table that help improve report and query performance are: Skinny tables can contain frequently used fields and thereby help avoid joins. Skinny tables are kept in sync with changes to data in the source tables. Skinny tables do not include records that are available in the recycle bin. These characteristics are beneficial because they reduce the query complexity and execution time, and improve the data accuracy and freshness. For example, skinny tables can contain frequently used fields from multiple objects, such as Account and Contact, and thereby help avoid joins that can slow down queries4. Skinny tables are updated automatically when the source tables are modified, so they always reflect the latest data5. Skinny tables do not include records that are available in the recycle bin, so they only contain active records that are relevant for reports and queries.


NEW QUESTION # 90
Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:

  • A. Use custom objects for cases older than 2 years and use nightly batch to move them.
  • B. Use Heroku and external objects to display cases older than 2 years and bulk API to hard delete from Salesforce.
  • C. Use Big objects for cases older than 2 years, and use nightly batch to move them.
  • D. Sync cases older than 2 years to an external database, and provide access to Service agents to the database

Answer: B,C

Explanation:
The best data archiving strategies for UC are to use Big objects and Heroku with external objects. Big objects allow storing large amounts of data on the Salesforce platform without affecting performance or storage limits. They also support point-and-click tools, triggers, and Apex code. Heroku is a cloud platform that can host external databases and integrate with Salesforce using external objects. External objects enable on-demand access to external data sources via standard Salesforce APIs and user interfaces. Using bulk API to hard delete cases from Salesforce will free up storage space and improve performance.


NEW QUESTION # 91
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place.
Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?

  • A. Write a Python script to aggregate and visualize the data.
  • B. Run standard reports and dashboards.
  • C. Install a third-party AppExchange tool for multi-org reporting.
  • D. Use Einstein Analytics for multi-org.

Answer: D

Explanation:
According to this article , Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.


NEW QUESTION # 92
A consumer products company has decided to use Salesforce for its contact center. The contact center agents need access to the following information in Service Console when a customer contacts them:
1. Customer browsing activity on its website stored on its on premise system
2. Customer interactions with sales associates at its retail stores maintained in Salesforce
3. Contact center interactions maintained in Salesforce
4. Email campaign activity to customer from its marketing systems.
What should a data architect do to fulfill these requirements with minimum development effort in Salesforce?

  • A. Build custom components in Service Console to bring information from the marketing and website information.
  • B. Build customer view in Service Console with components that show website data and marketing data as mashup.
  • C. Use Salesforce Connect to integrate the website and the marketing system into Service Console using external objects.
  • D. Create web tabs in Service Console to show website and marketing activities.

Answer: B


NEW QUESTION # 93
Universal Containers has a public website with several forms that create Lead records in Salesforce using the REST API. When designing these forms, which two techniques will help maintain a high level of data quality?

  • A. Prefer picklist form fields over free text fields, where possible.
  • B. Use cookies to track when visitors submit multiple forms.
  • C. Do client-side validation of phone number and email field formats.
  • D. Ensure the website visitor is browsing using an HTTPS connection.

Answer: A,C

Explanation:
Doing client-side validation of phone number and email field formats and preferring picklist form fields over free text fields, where possible, are two techniques that will help maintain a high level of data quality when designing forms that create Lead records in Salesforce using the REST API. Client-side validation can ensure that the input data is in the correct format and prevent errors or invalid values from being submitted. Picklist form fields can provide a predefined set of values for the users to choose from and avoid typos or inconsistencies in the data.


NEW QUESTION # 94
UC has one SF org (Org A) and recently acquired a secondary company with its own Salesforce org (Org B). UC has decided to keep the orgs running separately but would like to bidirectionally share opportunities between the orgs in near-real time.
Which 3 options should a data architect recommend to share data between Org A and Org B?
Choose 3 answers.

  • A. Use Salesforce Connect and the cross-org adapter to visualize Opportunities into external objects
  • B. Leverage Heroku Connect and Heroku Postgres to bidirectionally sync Opportunities.
  • C. Develop an Apex class that pushes opportunity data between orgs daily via the Apex schedule.
  • D. Install a 3rd party AppExchange tool to handle the data sharing
  • E. Leverage middleware tools to bidirectionally send Opportunity data across orgs.

Answer: A,B,E

Explanation:
Leveraging Heroku Connect and Heroku Postgres, middleware tools, or Salesforce Connect and the cross-org adapter are all viable options to share data between Org A and Org B in near-real time3. Installing a 3rd party AppExchange tool may not provide bidirectional sync or may have additional costs. Developing an Apex class that pushes opportunity data between orgs daily via the Apex schedule may not meet the near-real time requirement.


NEW QUESTION # 95
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. Utilize the Authorization Form Consent object to capture the consent.
  • B. Create a custom object to maintain the authorization.
  • C. Use custom fields to capture the authorization details.
  • D. Use AppExchange solution to address the requirement.

Answer: A

Explanation:
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.


NEW QUESTION # 96
A company wants to document the data architecture of a Salesforce organization.
What are two valid metadata types that should be included? (Choose two.)

  • A. RecordType
  • B. CustomField
  • C. Document
  • D. SecuritySettings

Answer: A,B


NEW QUESTION # 97
UC has been using SF for 10 years. Lately, users have noticed, that the pages load slowly when viewing Customer and Account list view.
To mitigate, UC will implement a data archive strategy to reduce the amount of data actively loaded.
Which 2 tasks are required to define the strategy? Choose 2 answers:

  • A. Identify how the archive data will be accessed and used.
  • B. Identify the recovery time objective.
  • C. Identify the data retention requirements
  • D. Identify the recovery point objective.

Answer: A,C

Explanation:
The two tasks required to define the data archive strategy are to identify how the archive data will be accessed and used, and identify the data retention requirements. Data archiving is the process of moving infrequently used or historical data from active storage to a separate storage location for long-term retention. Data archiving can improve performance, reduce storage costs, and comply with legal or regulatory obligations. To define a data archive strategy, a data architect needs to consider how the archived data will be accessed and used by different users or processes in Salesforce or outside Salesforce, and how long the archived data needs to be retained based on business or legal requirements.


NEW QUESTION # 98
North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

  • A. Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
  • B. A middleware solution that extracts and distributes data across both the hub and spokes.
  • C. A backup and archive solution that extracts and restores data across orgs.
  • D. Develop custom APIs to poll the spoke for change data and push into the org.

Answer: B

Explanation:
According to the Salesforce documentation, a hub-and-spoke model is an integration architecture pattern that allows connecting multiple Salesforce orgs using a central org (hub) and one or more secondary orgs (spokes). The hub org acts as the master data source and orchestrates the data flow between the spoke orgs.
The spoke orgs act as the consumers or producers of the data and communicate with the hub org.
To orchestrate data between the hub org and spoke orgs, a data architect should use:
* A middleware solution that extracts and distributes data across both the hub and spokes (option A). This means using an external service or tool that can connect to multiple Salesforce orgs using APIs or connectors, and perform data extraction, transformation, and distribution operations between the hub and spoke orgs. This can provide a scalable, flexible, and reliable way to orchestrate data across multiple orgs.
Developing custom APIs to poll the hub org for change data and push into the spoke orgs (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It may also not be able to handle large volumes of data or complex transformations efficiently. Developing custom APIs to poll the spoke orgs for change data and push into the hub org (option C) is also not a good solution, as it can have the same drawbacks as option B. It may also not be able to handle conflicts or errors effectively. Using a backup and archive solution that extracts and restores data across orgs (option D) is also not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle real-time or near-real-time data orchestration requirements.


NEW QUESTION # 99
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data.
Which two approaches should an Architect recommend to enforce the plan throughout the organization? (Choose two.)

  • A. Ensure all data is stored in an external system and set up an integration to Salesforce for view-only access.
  • B. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
  • C. Schedule reports that will automatically catch duplicates and merge or delete the records every week.
  • D. Enforce critical business processes by using Workflow, Validation Rules, and Apex code.

Answer: B,D

Explanation:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update3. Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability4.


NEW QUESTION # 100
Universal Containers (UC) is planning to move away from legacy CRM to Salesforce. As part of one-time data migration, UC will need to keep the original date when a contact was created in the legacy system. How should an Architect design the data migration solution to meet this requirement?

  • A. Create a new field on the Contact object to capture the Created Date. Hide the standard Created Date field using Field -Level Security.
  • B. Enable "Set Audit Fields" and assign the permission to the user loading the data for the duration of the migration.
  • C. After the data is migrated, perform an update on all records to set the original date in a standard Created Date field.
  • D. Write an Apex trigger on the Contact object, before insert event to set the original value in a standard Created Date field.

Answer: B

Explanation:
Enabling "Set Audit Fields" allows the user loading the data to set the value of the standard CreatedDate field to match the original date from the legacy system. This is a one-time permission that can be revoked after the migration is completed. The other options would either not work or require additional customization


NEW QUESTION # 101
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