Data-Architecture-And-Management-Designer Salesforce

Verified Data-Architecture-And-Management-Designer dumps Q&As 100% Pass in First Attempt Guaranteed Updated Dump from TestBraindump [Q129-Q147]

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Verified Data-Architecture-And-Management-Designer dumps Q&As 100% Pass in First Attempt Guaranteed Updated Dump from TestBraindump

Pass Salesforce Application Architect Data-Architecture-And-Management-Designer Exam With  224 Questions

How to study the Data-Architecture-And-Management-Designer Exam

There are two main types of resources for preparation of certification exams first there are the study guides and the books that are detailed and suitable for building knowledge from ground up then there are video tutorial and lectures that can somehow ease the pain of through study and are comparatively less boring for some candidates yet these demand time and concentration from the learner. Smart Candidates who want to build a solid foundation in all exam topics and related technologies usually combine video lectures with study guides to reap the benefits of both but there is one crucial preparation tool as often overlooked by most candidates the practice exams. Practice exams are built to make students comfortable with the real exam environment. Statistics have shown that most students fail not due to that preparation but due to exam anxiety the fear of the unknown. TestBraindump expert team recommends you to prepare some notes on these topics along with it don’t forget to practice Salesforce Data-Architecture-And-Management-Designer exam dumps which been written by our expert team, Both these will help you a lot to clear this exam with good marks.

 

Q129. A customer is operating in a highly reputated industry and is planning to implement SF. The customer information maintained in SF, includes the following:
Personally, identifiable information (PII)
IP restrictions on profiles organized by Geographic location
Financial records that need to be private and accessible only by the assigned Sales associate.
User should not be allowed to export information from Salesforce.
Enterprise security has mandate access to be restricted to users within a specific geography and detail monitoring of user activity. Which 3 Salesforce shield capabilities should a data architect recommend? Choose 3 answers:

 
 
 
 
 

Q130. DreamHouse Realty 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.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.

What should the Architect consider in this situation?

 
 
 
 

Q131. 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?

 
 
 
 

Q132. Cloud Kicks has the following requirements:
– Data needs to be sent from Salesforce to an external system to generate invoices from their Order Management System (OMS).
– A Salesforce administrator must be able to customize which fields will be sent to the external system without changing code.
What are two approaches for fulfilling these requirements? (Choose two.)

 
 
 
 

Q133. Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain “”key”” fields which are important to their sales reps.
What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency? (Choose two.)

 
 
 
 

Q134. Universal Container is using Salesforce for Opportunity management and enterprise resource planning (ERP) for order management. Sales reps do not have access to the ERP and have no visibility into order status.
What solution a data architect recommend to give the sales team visibility into order status?

 
 
 
 

Q135. UC migrating 100,000 Accounts from an enterprise resource planning (ERP) to salesforce and is concerned about ownership skew and performance.
Which 3 recommendations should a data architect provide to prevent ownership skew?
Choose 3 answers:

 
 
 
 
 

Q136. A large retail B2C customer wants to build a 360-degree view of its customers for its call center agents. The customer information is currently maintained in the following systems:
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 uniquely identify the customer across multiple systems?

 
 
 
 

Q137. Two million Opportunities need to be loaded in different batches into Salesforce using the Bulk API in parallel mode.
What should an Architect consider when loading the Opportunity records?

 
 
 
 

Q138. Universal Containers wants to automatically archive all inactive Account data that is older than 3 years. The information does not need to remain accessible within the application.
Which two methods should be recommended to meet this requirement? Choose 2 answers

 
 
 
 

Q139. Cloud Kicks needs to optimize data stewardship engagement for a Salesforce instance.
Before proposing design recommendations, the Data Architect is first assessing relevant areas of Salesforce.
Which three areas are appropriate to assess? (Choose three.)

 
 
 
 
 

Q140. A company needs to track field history on 50 Opportunity fields.
Which two actions can be taken to accomplish this goal? (Choose two.)

 
 
 
 

Q141. Universal Containers has defined a new Data Quality Plan for their Salesforce data and wants to know how they can enforce it throughout the organization. Which two approaches should an architect recommend to enforce this new plan?
Choose 2 answers

 
 
 
 

Q142. 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

 
 
 
 

Q143. Ursa Major Solar has the following two systems:
– Salesforce
– On-premise ERP system
Opportunity records need to be copied 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.
An Architect needs to recommend a real-time approach that fulfills these requirements.
Which recommendation is appropriate?

 
 
 
 

Q144. 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?

 
 
 
 

Q145. DreamHouse Realty has a Salesforce org that is used to manage Contacts.
What are two things an Architect should consider using to maintain data quality in this situation? (Choose two.)

 
 
 
 

Q146. Universal Containers (UC) has a Salesforce org with multiple automated processes defined for group membership processing. UC also has multiple admins on staff that perform manual adjustments to the role hierarchy. The automated tasks and manual tasks overlap daily, and UC is experiencing “lock errors” consistently.
What should a data architect recommend to mitigate these errors?

 
 
 
 

Q147. Universal Containers (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 Salesforce.
UC is concerned about Salesforce storage limits but would still like Sales Cloud to have access to the data.
Which design pattern should a data architect select to satisfy the requirement?

 
 
 
 

Salesforce Data-Architecture-And-Management-Designer Exam

Salesforce Data-Architecture-And-Management-Designer Exam is related to Salesforce Certified Data Architecture and Management Designer (SU18) Certification. This exam validates the Candidate knowledge to assesses the architecture environment and requirements and designs sound, scalable, and performance solutions on the Lightning Platform. It also deals with the ability to meet the requirements of large-data-volume enterprises, as well as how they understand enterprise data management and stewardship concerns and considerations in relation to projects.

Data-Architecture-And-Management-Designer Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Salesforce Data-Architecture-And-Management-Designer exam dumps will include the following topics:

1. Data Modeling/ Database Design 20%

  • Compare and contrast various techniques, approaches and considerations for capturing and managing business and technical metadata (e.g. business dictionary, data lineage, taxonomy, data classification).
  • Compare and contrast various techniques and considerations for designing a data model for the Customer 360 platform. (e.g. objects, fields & relationships, object features).
  • Given a scenario, recommend approaches and techniques to design a scalable data model that obeys the current security and sharing model.
  • Compare and contrast the different reasons for implementing Big Objects vs Standard/Custom objects within a production instance, alongside the unique pros and cons of utilizing Big Objects in a Salesforce data model.
  • Given a customer scenario, recommend approaches and techniques to avoid data skew (record locking, sharing calculation issues, and excessive child to parent relationships).

2. Master Data Management: 5%

  • Compare and contrast the various techniques, approaches and considerations for implementing Master Data Management Solutions (e.g. MDM implementation styles, harmonizing & consolidating data from multiple sources, establishing data survivorship rules, thresholds & weights, leveraging external reference data for enrichment, Canonical modeling techniques, hierarchy management.)
  • Given a customer scenario, recommend and use techniques for establishing a “golden record” or “system of truth” for the customer domain in a Single Org
  • Given a customer scenario, recommend appropriate approaches and techniques to capture and maintain customer reference & metadata to preserve traceability and establish a common context for business rules
  • Given a customer scenario, recommend approaches and techniques for consolidating data attributes from multiple sources. Discuss criteria and methodology for picking the winning attributes.

3. Salesforce Data Management: 25%

  • Given a scenario with multiple systems of interaction, describe techniques to represent a single view of the customer on the Salesforce platform.
  • Given a customer scenario, recommend a design to effectively consolidate and/or leverage data from multiple Salesforce instances.
  • Given a customer scenario, recommend appropriate combination of Salesforce license types to effectively leverage standard and custom objects to meet business needs.
  • Given a customer scenario, recommend techniques to ensure data is persisted in a consistent manner.

4. Data Governance: 10%

  • Compare and contrast various approaches and considerations for designing and implementing an enterprise data governance program.
  • Given a customer scenario, recommend an approach for designing a GDPR compliant data model. Discuss the various options to identify, classify and protect personal and sensitive information.

5. Large Data Volume considerations: 20%

  • Given a customer scenario, decide when to use virtualised data and describe virtualised data options.
  • Given a customer scenario, recommend a data archiving and purging plan that is optimal for customer’s data storage management needs.
  • Given a customer scenario, design a data model that scales considering large data volume and solution performance.

6. Data Migration: 15%

  • Compare and contrast various techniques for improving performance when migrating large data volumes into Salesforce.
  • Compare and contrast various techniques and considerations for exporting data from Salesforce.
  • Given a customer scenario, recommend appropriate techniques and methods for ensuring high data quality at load time.

 

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