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Free ACD201 Updates & ACD201 Authorized Pdf
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Most of the study material providers fail to provide insight on the ACD201 real exam questions to the candidates of certification exams. There is such scene with Dumps4PDF products. They are in fact made, keeping in mind the ACD201 Actual Exam. Thus every ACD201 exam dumps is set in line with the format of real exam and introduces the candidate to it perfectly.
Appian ACD201 Exam Syllabus Topics:| Topic | Details | | Topic 1 | - 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 2 | - 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 3 | - 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.
| | Topic 4 | - 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.
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Appian Senior Developer Sample Questions (Q35-Q40):NEW QUESTION # 35
You're building an order management system.
You need to create a field that displays the total number of days it took to deliver each order, and show and sort by this data in a read-only grid. The data must be available in real-time.
Which function is the most appropriate for calculating this value?
- A. calworkdays()
- B. a!customFieldDateDiff()
- C. a!subtractDateTime()
Answer: B
Explanation:
a!customFieldDateDiff() is specifically designed for calculating date differences as custom record fields, enabling sorting and real-time calculation in read-only grids.
NEW QUESTION # 36
A view is created with the primary table PERSON and is joined using a left join with the APPOINTMENT table on the column "PERSON_ID". There is a one-to-many relationship between the PERSON and APPOINTMENT tables.
A Custom Data Type (CDT) and a data store entity have been created based on this view, with the primary key being "PERSON_ID".
Review the data presented in the PERSON and APPOINTMENT tables:

Which two statements are true when the following query entity is executed? (Choose two.)

- A. Appian makes one more query to the database(other than the actual query to fetch the data) to get the totalCount based on the applied filters.
- B. result totalCount is 3
- C. result totalCount is 1
- D. Appian makes one more query to the database(other than the actual query to fetch the data) to get the totalCount based on the applied filters and paging info.
Answer: A,C
Explanation:
Appian makes an additional query to the database (other than the main query for data) to retrieve the totalCount when fetchTotalCount: true() is used.
The result totalCount is 1, as there is only one person (PERSON_ID 1101) being filtered, even though there are multiple "New" appointments for that person; with a CDT based on PERSON_ID as the primary key, only one row is counted per person.
NEW QUESTION # 37
You need to configure your process model to store the result of an expression rule for every item in a list.
Your design must have the smallest memory footprint.
What should you do?
- A. Create a loop of smart service nodes in the process model and execute it for each item in the list.
- B. Execute MNI over a script task for each item in the list.
- C. Invoke a sub-process for each item in the list.
- D. Configure a script task to use a!forEach() to iterate over each item in the list.
Answer: D
Explanation:
Configuring a script task to use a!forEach() to iterate over each item in the list allows you to process all items within a single task, minimizing the memory footprint compared to multiple subprocesses or smart service loops.
NEW QUESTION # 38
You're designing a report to show the total number of cases per month grouped by region. A synced record exists for the data source.
Which design pattern is most appropriate in this case?
- A. Configure a!pieChartFieid() using a!pieChartConfig() with the case creation date as the primaryGrouping and the region as the secondaryGrouping.
- B. Configure a!columnChartFieid() using a!columnChartConfig() with the case creation date as the primaryGrouping and the region as the secondaryGrouping.
- C. Use a!queryRecordType() with a!aggregationFieids() to group the case creation date by region into a local variable. Pass the local variable value into the data input of a!columnChartField()
Answer: C
Explanation:
Using a!queryRecordType() with a!aggregationFields() to group by case creation date and region, storing the result in a local variable and passing it to the data input of a!columnChartField() ensures efficient aggregation and flexible chart display for your report.
NEW QUESTION # 39
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?
- A. Stored procedure
- B. Record type with relationships
- C. VCCCiews
Answer: C
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 # 40
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