100% ACD201 Correct Answers, ACD201 Exam Topics Pdf

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Appian ACD201 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Application Design and Development: This section of the exam measures the skills of Appian Developers and covers translating business requirements into user stories, building end-to-end applications, managing object security, applying design best practices, and ensuring user-centric experiences through proper UX design.
Topic 2
  • Data Management: This section of the exam measures the skills of Solution Architects and covers designing and documenting data models, recommending record types for optimization and security, working with relational data, and implementing complex models with supporting objects.
Topic 3
  • Performance and Scalability: This section of the exam measures the skills of Appian Developers and covers designing performant components, building memory-efficient models, conducting database load and automated testing, analyzing server memory and logs for risks, and resolving performance concerns for end users.
Topic 4
  • Advanced Appian Concepts: This section of the exam measures the skills of Solution Architects and covers creating and configuring authentication methods, setting up integration objects, designing APIs, evaluating smart services and plug-ins, and applying SSO mechanisms with SAML and LDAP.

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Appian Senior Developer Sample Questions (Q78-Q83):

NEW QUESTION # 78
You notice that a process consumes a significant amount of memory. The process involves ingesting long strings from a web service and saving them to the database using a looping approach. The string output is saved to a process variable with data type Text.
Which two options will reduce the memory usage? (Choose two.)

Answer: A,B

Explanation:
Saving the string output directly to the data structure for database writing avoids holding large text in process variables, reducing memory usage.
Deleting completed or cancelled process instances helps free up memory consumed by historical process data.


NEW QUESTION # 79
You're executing a performance test of the client's application. You notice that server-side resources are at high-to-critical operating levels.
What should you do to troubleshoot this issue?
Note: To answer, move all steps from the Options list to the Answer List area and arrange them in the correct order.

Answer:

Explanation:

Explanation:


NEW QUESTION # 80
An insurance company's product details are currently distributed across numerous database tables, encompassing over 60 to 70 fields.
You need to implement a product comparison tool for business users to compare up to three insurance products simultaneously, with all the product details in a tabular format.
Refer to the following sample format:

Which object should be used to transform the data into the required format?

Answer: B

Explanation:
Database views are ideal for transforming complex, distributed product data into a single, flattened structure tailored for reporting or comparison. In this case, a view can pivot the 60-70 fields and organize them by attribute (e.g., Name, Type, Premium) across multiple product columns, enabling a tabular comparison layout like the one shown. Views also optimize performance and reduce transformation overhead in the interface layer.


NEW QUESTION # 81
You need to create an expression rule that will be reused throughout your environment.
What are two reasons why you should include meaningful test cases when creating a new expression rule? (Choose two.)

Answer: A,B

Explanation:
Meaningful test cases accelerate different testing types by providing clear validation scenarios for the rule.
They support Test-Driven Development by enabling you to define expected outcomes before or during rule creation.


NEW QUESTION # 82
You're conducting a design review.
You identify slow-performing expression rules querying a specific data store, and need to understand the
"number of operations against data stores."
Which metric from the data_store_details.csv file is helpful to you?

Answer: C

Explanation:
The "Query Count" metric in the data_store_details.csv file indicates the number of operations (queries) performed against data stores, helping you analyze data store usage.


NEW QUESTION # 83
......

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