Data-Architect Demo Test, Exam Data-Architect Objectives Pdf
Data-Architect Demo Test, Exam Data-Architect Objectives Pdf
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To be eligible for the Salesforce Data-Architect Exam, an individual must have a solid understanding of the Salesforce platform and its data-related features. They should also have experience in designing and implementing complex data solutions on the platform. Data-Architect exam is targeted at individuals who are looking to advance their careers in the field of data architecture, including data architects, data engineers, technical architects, and Salesforce developers.
Salesforce Data-Architect certification is a valuable credential for professionals who work with Salesforce data. It demonstrates expertise in data architecture and design principles and validates the ability to design, develop, and implement data solutions using the Salesforce platform. To earn this certification, candidates must pass a challenging exam that covers a wide range of topics related to data architecture and design. With proper preparation, candidates can successfully earn this certification and enhance their career opportunities in the Salesforce ecosystem.
Salesforce Certified Data Architect Sample Questions (Q188-Q193):
NEW QUESTION # 188
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 Heroku and external objects to display cases older than 2 years and bulk API to hard delete from Salesforce.
- B. Use custom objects for cases older than 2 years and use nightly batch to move them.
- 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: A,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 # 189
To avoid creating duplicate Contacts, a customer frequently uses Data Loader to upsert Contact records into Salesforce. What common error should the data architect be aware of when using upsert?
- A. Errors with using the wrong external Id will cause the load to fail.
- B. Errors with records being updated and inserted in the same CSV file.
- C. Errors with duplicate external Id values within the same CSV file.
- D. Errors when a duplicate Contact name is found cause upsert to fail.
Answer: C
NEW QUESTION # 190
Northern Trail Outfitters is concerned because some of its data is sensitive and needs to be identified for access.
What should be used to provide ways to filter and identify the sensitive data?
- A. Custom checkbox denoting sensitive data.
- B. Define data classification metadata.
- C. Define data grouping metadata.
- D. Implement field-level security.
Answer: B
Explanation:
According to the official Salesforce guide1, data classification metadata is a feature that allows administrators to classify data fields based on their sensitivity level, such as confidential, restricted, or general. Data classification metadata can be used to filter and identify sensitive data fields and apply appropriate security measures, such as encryption, masking, or auditing. Option D is the correct answer because it suggests using data classification metadata to provide ways to filter and identify sensitive data. Option A is incorrect because data grouping metadata is not a feature in Salesforce. Option B is incorrect because field-level security is a feature that controls the visibility and editability of fields based on user profiles or permission sets, but it does not provide ways to filter and identify sensitive data. Option C is incorrect because creating a custom checkbox denoting sensitive data is not a scalable or reliable solution, as it requires manual maintenance and does not enforce any security measures.
NEW QUESTION # 191
(NTO) has multiple salesforce orgs based on geographical reports (AMER, EMEA, APAC). NTO products are in the AMER org and need to be created in the EMEA and APAC after the products are approved.
Which two features should a data architect recommend to share records between salesforce orgs? Choose 2.
- A. Salesforce connect.
- B. Federation search
- C. Change data capture (CDC)
- D. Salesforce 2 Salesforce
Answer: C,D
Explanation:
The two features that a data architect should recommend to share records between Salesforce orgs are:
Change Data Capture (CDC): This is a feature that publishes change events for changes in Salesforce records, such as create, update, delete, and undelete operations. Change events can be subscribed by external systems or other Salesforce orgs using various tools, such as Platform Events, Streaming API, or CometD. CDC can help keep data in sync between Salesforce orgs in near real time89.
Salesforce to Salesforce (S2S): This is a feature that allows sharing records and related data with other Salesforce orgs that you partner with. You can choose which records and fields to share, and which orgs to share with. You can also accept updates from the other orgs to keep the data consistent10.
Salesforce Connect is not a good feature to share records between Salesforce orgs because it is intended for integrating external data sources with Salesforce using external objects. Federation Search is not a good feature to share records between Salesforce orgs because it is intended for searching across multiple Salesforce orgs without sharing data.
NEW QUESTION # 192
All accounts and opportunities are created in Salesforce. Salesforce is integrated with three systems:
* An ERP system feeds order data into Salesforce and updates both Account and Opportunity records.
* An accounting system feeds invoice data into Salesforce and updates both Account and Opportunity records.
* A commission system feeds commission data into Salesforce and updates both Account and Opportunity records.
How should the architect determine which of these systems is the system of record?
- A. Whatever integration data flow runs last will, by default, determine which system is the system of record.
- B. Account and opportunity data originates in Salesforce, and therefore Salesforce is the system of record.
- C. Whatever system updates the attribute or object should be the system of record for that field or object.
- D. Data flows should be reviewed with the business users to determine the system of record per object or field.
Answer: D
Explanation:
Option D is correct because data flows should be reviewed with the business users to determine the system of record per object or field1. The system of record is the authoritative source of data for a given entity or attribute2. It may vary depending on the business context and requirements. Option A is not correct because account and opportunity data originates in Salesforce, but it may not be the system of record for all attributes or objects if they are updated by other systems2. Option B is not correct because whatever system updates the attribute or object may not be the system of record for that field or object if there are conflicting or overlapping updates from other systems2. Option C is not correct because whatever integration data flow runs last may not determine which system is the system of record if there are different business rules or logic applied by different systems2.
NEW QUESTION # 193
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