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Salesforce Data-Architect certification exam is intended for professionals who have experience in Salesforce data architecture and management. Candidates should have a deep understanding of Salesforce data model, data architecture, and data management principles. They should also have experience in designing and implementing data integration, migration, and analytics solutions in Salesforce.
NEW QUESTION # 30
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. Einstein Analytics
- B. Standard reports and dashboards
- C. Async SOQL with a custom object
- D. Standard SOQL queries
Answer: A,C
Explanation:
Async SOQL with a custom object (option B) and Einstein Analytics (option D) are the two native tools that can be used to report on big object data. Async SOQL allows querying big object data and storing the results in a custom object, which can then be used for reporting. Einstein Analytics can connect to big object data sources and provide advanced analytics and visualization features. Standard reports and dashboards (option A) and standard SOQL queries (option C) cannot be used to report on big object data, as they do not support big object fields
NEW QUESTION # 31
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. Allow users to import their data using the Salesforce Import tools.
- B. Utilize a 3rd -party solution from the AppExchange for data uploads.
- 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.
Answer: C
Explanation:
Utilizing an app from the AppExchange to create data-quality dashboards is the approach that the architect should recommend for UC to implement a data-quality process to monitor the data that users are manually entering into the system through the Salesforce UI. An app from the AppExchange can provide ready-made or customizable dashboards that can display various metrics and indicators of data quality, such as completeness, accuracy, consistency, timeliness, etc. These dashboards can help UC to measure and evaluate their data quality performance and identify any areas that need improvement or attention. The other options are not relevant or effective for implementing a data-quality process, as they would either not address the issue of manual data entry, not provide data-quality monitoring, or not leverage the benefits of Salesforce.
NEW QUESTION # 32
Universal Containers wants to develop a dashboard in Salesforce that will allow Sales Managers to do data exploration using their mobile device (i.e., drill down into sales-related data) and have the possibility of adding ad-hoc filters while on the move. What is a recommended solution for building data exploration dashboards in Salesforce?
- A. Create a Dashboard in an external reporting tool, export data to the tool, and add link to the dashboard in Salesforce.
- B. Create a Dashboard in an external reporting tool, export data to the tool, and embed the dashboard in Salesforce using the Canval toolkit.
- C. Create a Dashboard using Analytics Cloud that will allow the user to create ad-hoc lenses and drill down.
- D. Create a standard Salesforce Dashboard and connect it to reports with the appropriate filters.
Answer: C
NEW QUESTION # 33
Universal Containers (UC) has a complex system landscape and is implementing a data governance program for the first time Which two first steps would be appropriate for UC to initiate an assessment of data architecture? Choose 2 answers
- A. Engage with business units and IT to assess current operational systems and data models.
- B. Engage with IT program managers to assess current velocity of projects in the pipeline.
- C. Engage with executive sponsorship to assess enterprise data strategy and goals.
- D. Engage with database administrators to assess current database performance metrics.
Answer: A,C
Explanation:
Engaging with executive sponsorship to assess enterprise data strategy and goals, and engaging with business units and IT to assess current operational systems and data models are two first steps that would be appropriate for UC to initiate an assessment of data architecture. These steps will help to understand the current state of data management, the business needs and expectations, and the gaps and opportunities for improvement.
Engaging with IT program managers to assess current velocity of projects in the pipeline, and engaging with database administrators to assess current database performance metrics are not relevant steps for assessing data architecture, as they are more related to project management and technical performance.
NEW QUESTION # 34
DreamHouse Realty has 15 million records in the Order_c custom object. When running a bulk query, the query times out.
What should be considered to address this issue?
- A. Metadata API
- B. Streaming API
- C. PK Chunking
- D. Tooling API
Answer: C
Explanation:
PK Chunking is a feature of the Bulk API that allows splitting a large query into smaller batches based on the primary key of the object. This can improve the performance and avoid query timeouts when querying large data sets
NEW QUESTION # 35
In their legacy system. Universal Containers has a monthly accounts receivable report that compiles data from Accounts, Contacts, Opportunities, Orders. and Order Line Items. What difficulty will an architect run into when implementing this in Salesforce?
- A. Salesforce allows up to four objects in a single report type.
- B. Custom report types cannot contain Opportunity data.
- C. Salesforce does not support Orders or Order Line Items.
- D. A report cannot contain data from Accounts and Contacts.
Answer: A
NEW QUESTION # 36
NTO has been using salesforce for sales and service for 10 years. For the past 2 years, the marketing group has noticed a raise from 0 to 35 % in returned mail when sending mail using the contact information stored in salesforce.
Which solution should the data architect use to reduce the amount of returned mails?
- A. Have the sales team to call all existing customers and ask to verify the contact details.
- B. Use a 3rd-party data source to update contact information in salesforce.
- C. Delete contacts when the mail is returned to save postal cost to NTO.
- D. Email all customer and asked them to verify their information and to call NTO if their address is incorrect.
Answer: B
NEW QUESTION # 37
Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answers
- A. Standard list view in -line editing.
- B. Bulk API limitations on picklist fields.
- C. Org data storage limitations.
- D. Limitations on master -detail relationships.
Answer: A,B
Explanation:
When denormalizing a data model into a single object with a picklist field, the data architect should consider the Bulk API limitations on picklist fields and the standard list view in-line editing. The Bulk API has a limit of 1,000 distinct picklist values per file1, which could be an issue if there are more than 1,000 venues in the future. The standard list view in-line editing allows users to edit multiple records at once, which could introduce data quality issues if the venue picklist is not validated or restricted2. The other options are not relevant to denormalizing a data model.
NEW QUESTION # 38
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. Directly leverage Salesforce-to-Salesforce functionality to load Case data.
- B. Load the data in multiple sets using Bulk API parallel processes.
- C. Pre-process the data, then use Data Loader with SOAP API to upsert with zip compression enabled.
- D. Utilize the Salesforce Org Migration Tool from the Setup Data Management menu.
Answer: C
Explanation:
Pre-processing the data means transforming and cleansing the data before loading it into Salesforce. This can reduce the errors and conflicts that might occur during the data load. Using Data Loader with SOAP API to upsert with zip compression enabled can also improve the performance and efficiency of the data load by reducing the network bandwidth and avoiding duplication
NEW QUESTION # 39
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.
Answer: B
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 # 40
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. Import the data concurrently.
- B. Clean data before importing to Salesforce.
- C. Use a workflow to check and prevent duplicates.
- D. Use Salesforce matching and duplicate rules.
Answer: B,D
Explanation:
Cleaning data before importing to Salesforce and using Salesforce matching and duplicate rules are two design considerations that an architect should take to minimize data duplication when migrating legacy account data from two aging systems into Salesforce. Cleaning data before importing involves removing or correcting any inaccurate, incomplete, or inconsistent data from the source systems, as well as identifying and resolving any potential duplicates. This ensures that only high-quality and unique data is imported to Salesforce. Using Salesforce matching and duplicate rules allows the architect to define how Salesforce identifies duplicate records during import and how users can handle them. This prevents or reduces the creation of duplicate records in Salesforce and improves data quality. The other options are not effective or recommended for minimizing data duplication.
NEW QUESTION # 41
A large retail B2C customer wants to build a 360 view of its customer for its call center agents. The customer interaction is currently maintained in the following system: 1. Salesforce CRM
2. Custom billing solution
3. Customer Master Data management (MDM)
4. Contract Management system
5. Marketing solution
What should a data architect recommend that would help upgrade uniquely identify customer across multiple systems:
- A. Create a customer data base and use this id in all systems.
- B. Store the salesforce id in all the solutions to identify the customer.
- C. Create a custom field as external id to maintain the customer Id from the MDM solution.
- D. Create a custom object that will serve as a cross reference for the customer id.
Answer: C
NEW QUESTION # 42
Universal Container require all customers to provide either a phone number of an email address when registering for an account.
What should the data architect use to ensure this requirement is met?
- A. required Fields
- B. validation Rule
- C. Process Builder
- D. Apex Class
Answer: B
Explanation:
Using a validation rule is the best way to ensure that all customers provide either a phone number or an email address when registering for an account, as it allows defining a formula that evaluates whether a record meets certain criteria. Using required fields may not work if both phone number and email address are required. Using an Apex class or a Process Builder may be more complex or cumbersome than using a validation rule.
NEW QUESTION # 43
The head of sales at Get Cloudy Consulting wants to understand key relevant performance figures and help managers take corrective actions where appropriate.
What is one reporting option Get Cloudy Consulting should consider?
- A. Lead conversion rate report
- B. Opportunity analytic snapshot
- C. Sales KPI Dashboard
- D. Case SLA performance report
Answer: C
Explanation:
A Sales KPI Dashboard is one reporting option that Get Cloudy Consulting should consider to understand key relevant performance figures and help managers take corrective actions where appropriate. A Sales KPI Dashboard can display various metrics that indicate the health and effectiveness of the sales team, such as quota attainment, pipeline value, win rate, average deal size, sales cycle length, and more. A Sales KPI Dashboard can also help identify trends, patterns, and areas for improvement.
NEW QUESTION # 44
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage.
Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?
- A. Number of queries running at a time.
- B. Number of joins used in report query.
- C. Number of records returned by report query.
- D. Number of characters in report query.
Answer: B,C
Explanation:
The number of joins used in report query and the number of records returned by report query are two key considerations to make sure the performance of the report is not degraded due to large data volume. The number of joins used in report query affects the complexity and execution time of the query, especially when joining multiple large objects4. The number of records returned by report query affects the amount of data that needs to be processed and displayed by the report engine.
NEW QUESTION # 45
Northern Trail Outfitters (NTO) has a variety of customers that include householder, businesses, and individuals.
The following conditions exist within its system:
NTO has a total of five million customers.
Duplicate records exist, which is replicated across many systems, including Salesforce.
Given these conditions, there is a lack of consistent presentation and clear identification of a customer record.
Which three option should a data architect perform to resolve the issues with the customer data?
- A. Create a unique global customer ID for each customer and store that in all system for referential identity.
- B. Create a customer master database external to Salesforce as a system of truth and sync the customer data with all systems.
- C. Duplicate customer records across the system and provide a two-way sync of data between the systems.
- D. Invest in data duplicate tool to de-dupe and merge duplicate records across all systems.
- E. Use Salesforce CDC to sync customer data cross all systems to keep customer record in sync.
Answer: A,B,D
Explanation:
Creating a unique global customer ID for each customer and storing that in all systems for referential identity (option A), investing in a data duplicate tool to de-dupe and merge duplicate records across all systems (option C), and creating a customer master database external to Salesforce as a system of truth and syncing the customer data with all systems (option E) are the three options that a data architect should perform to resolve the issues with the customer data. Option A ensures that each customer can be uniquely identified across different systems, option C eliminates duplicate records and improves data quality, and option E provides a consistent and reliable source of customer data for all systems. Using Salesforce CDC to sync customer data across all systems (option B) is not a good option, as it does not address the duplication or inconsistency issues. Duplicating customer records across the system and providing a two-way sync of data between the systems (option D) is also not a good option, as it may create more confusion and conflicts with customer data.
NEW QUESTION # 46
NTO has implemented salesforce for its sales users. The opportunity management in salesforce is implemented as follows:
1. Sales users enter their opportunities in salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update opportunity amount field on opportunities on a daily basis.
3. PPS is the trusted source within the NTO for opportunity amount.
4. NTO uses opportunity forecast for its sales planning and management.
Sales users have noticed that their updates to the opportunity amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overriding issue?
- A. Change PPS integration to update only opportunity amount fields when values is NULL.
- B. Change opportunity amount field access to read only for sales users using field level security.
- C. Create a custom field for opportunity amount that sales users update separating the fields that PPS updates.
- D. Create a custom field for opportunity amount that PPS updates separating the field that sales user updates.
Answer: B
NEW QUESTION # 47
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