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Salesforce Data-Architect Marvelous Reliable Test Syllabus

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Salesforce Data-Architect certification exam is ideal for professionals who work with data architecture and management within the Salesforce ecosystem. This includes data architects, data analysts, data engineers, and data scientists. Data-Architect Exam is also suitable for individuals who have experience working with Salesforce data and want to take their skills to the next level.

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To become a Salesforce Certified Data Architect, candidates must have a solid understanding of the Salesforce platform, database architecture, data modeling, and data management. They must also have experience in designing and implementing data solutions that meet specific business requirements while ensuring data quality, security, and compliance. Data-Architect exam covers topics such as data modeling, data integration, data quality, data security, and data governance, among others.

To become a Salesforce Certified Data Architect, applicants must demonstrate proficiency in several areas, including data modeling, data governance, data integration, data migration, data security, and data quality. Data-Architect Exam is designed to test the applicant's knowledge of these topics, as well as their ability to apply their knowledge to real-world scenarios. Salesforce Certified Data Architect certification program is recognized globally and is highly valued by employers who are looking for experts in data architecture. Additionally, the certification program is constantly evolving to keep up with changes in the Salesforce platform, ensuring that certified professionals stay up-to-date with the latest trends and technologies in data architecture.

Salesforce Certified Data Architect Sample Questions (Q100-Q105):

NEW QUESTION # 100
Ursa Major Solar's legacy system has a quarterly accounts receivable report that compiles data from the following:
- Accounts
- Contacts
- Opportunities
- Orders
- Order Line Items
Which issue will an architect have when implementing this in Salesforce?

  • A. Salesforce does NOT allow more than four objects in a single report type.
  • B. Salesforce does NOT support Orders or Order Line Items.
  • C. Custom report types CANNOT contain Opportunity data.
  • D. A report CANNOT contain data from Accounts and Contacts.

Answer: A


NEW QUESTION # 101
UC developers have created a new lightning component that uses an Apex controller using a SOQL query to populate a custom list view. Users are complaining that the component often fails to load and returns a time-out error.
What tool should a data architect use to identify why the query is taking too long?

  • A. Use Splunk to query the system logs looking for transaction time and CPU usage.
  • B. Use salesforce's query optimizer to analyze the query in the developer console.
  • C. Enable and use the query plan tool in the developer console.
  • D. Open a ticket with salesforce support to retrieve transaction logs to e analyzed for processing time.

Answer: C

Explanation:
According to the Salesforce documentation1, the query plan tool is a tool that can be enabled and used in the developer console to analyze the performance of a SOQL query. The query plan tool shows the cost, cardinality, sObject type, and relative cost of each query plan that Salesforce considers for a query. The relative cost indicates how expensive a query plan is compared to the Force.com query optimizer threshold. A query plan with a relative cost above 1.0 is likely to cause a time-out error.
To identify why the query is taking too long, a data architect should use the query plan tool in the developer console (option B). This way, the data architect can see which query plan is chosen by Salesforce and how it affects the performance of the query. The data architect can also use the query plan tool to optimize the query by adding indexes, filters, or limits to reduce the cost and improve the efficiency of the query.
Using Splunk to query the system logs looking for transaction time and CPU usage (option A) is not a good solution, as it can be complex, costly, and difficult to integrate with Salesforce. It may also not provide enough information or insights to identify and optimize the query performance. Using Salesforce's query optimizer to analyze the query in the developer console (option C) is also not a good solution, as it is not a separate tool that can be used in the developer console. The query optimizer is a feature that runs automatically when a SOQL query is executed and chooses the best query plan based on various factors2. Opening a ticket with Salesforce support to retrieve transaction logs to be analyzed for processing time (option D) is also not a good solution, as it can be time-consuming, dependent, and inefficient. It may also not provide enough information or insights to identify and optimize the query performance.


NEW QUESTION # 102
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. Enforce critical business processes by using Workflow, Validation Rules, and Apex code.
  • B. Ensure all data is stored in an external system and set up an integration to Salesforce for view-only access.
  • C. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
  • D. Schedule reports that will automatically catch duplicates and merge or delete the records every week.

Answer: A,C

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 # 103
UC is implementing sales cloud for patient management and would like to encrypt sensitive patient records being stored in files.
Which solution should a data architect recommend to solve this requirement?

  • A. Store files outside of salesforce and access them to real time.
  • B. Use classic encryption to encrypt files.
  • C. Implement shield platform encryption to encrypt files.
  • D. Implement 3rd party App Exchange app to encrypt files.

Answer: C

Explanation:
Shield platform encryption is the recommended solution for encrypting sensitive patient records stored in files, as it provides encryption at rest for files and attachments, as well as standard and custom fields. Classic encryption only supports text fields with a maximum length of 175 characters, and does not encrypt files. Third-party App Exchange apps may not provide the same level of security and compliance as shield platform encryption. Storing files outside of salesforce may introduce additional complexity and latency


NEW QUESTION # 104
Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types.
Which solution should a data architect use to ensure successful data migrations?

  • A. Export legacy data into CSV files and leverage data loader to load data into Salesforce.
  • B. Migrate the legacy data leveraging an ETL tool to transform data types and load data into Salesforce.
  • C. Export legacy data into the staging database and leverage stored procedures to transform data types before loading into Salesforce.
  • D. Migrate legacy data to a staging database for mapping then leverage an ETL tool to transform the data and load into Salesforce.

Answer: B

Explanation:
According to this article, migrating the legacy data leveraging an ETL tool to transform data types and load data into Salesforce can be a way to ensure successful data migrations. The article states that ETL tools can help with data cleansing, mapping, transformation, and loading, and that they can handle different data types and formats. The article also provides some best practices for data migration, such as identifying the data to migrate, creating templates for the data, preparing the destination org, and validating the data.


NEW QUESTION # 105
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