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New ACD300 Test Cost - Latest ACD300 Dumps Pdf

New ACD300 Test Cost - Latest ACD300 Dumps Pdf

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Appian Certified Lead Developer Sample Questions (Q22-Q27):

NEW QUESTION # 22
You are selling up a new cloud environment. The customer already has a system of record for Its employees and doesn't want to re-create them in Appian. so you are going to Implement LDAP authentication.
What are the next steps to configure LDAP authentication?
To answer, move the appropriate steps from the Option list to the Answer List area, and arrange them in the correct order. You may or may not use all the steps.

Answer:

Explanation:

* Navigate to the Admin console > Authentication > LDAP. This is the first step, as it allows you to access the settings and options for LDAP authentication in Appian.
* Work with the customer LDAP point of contact to obtain the LDAP authentication xsd. Import the xsd file in the Admin console. This is the second step, as it allows you to define the schema and structure of the LDAP data that will be used for authentication in Appian. You will need to work with the customer LDAP point of contact to obtain the xsd file that matches their LDAP server configuration and data model. You will then need to import the xsd file in the Admin console using the Import Schema button.
* Enable LDAP and enter the LDAP parameters, such as the URL of the LDAP server and plaintext credentials. This is the third step, as it allows you to enable and configure the LDAP authentication in Appian. You will need to check the Enable LDAP checkbox and enter the required parameters, such as the URL of the LDAP server, the plaintext credentials for connecting to the LDAP server, and the base DN for searching for users in the LDAP server.
* Test the LDAP integration and see if it succeeds. This is the fourth and final step, as it allows you to verify and validate that the LDAP authentication is working properly in Appian. You will need
* to use the Test Connection button to test if Appian can connect to the LDAP server successfully.
You will also need to use the Test User Lookup button to test if Appian can find and authenticate a user from the LDAP server using their username and password.


NEW QUESTION # 23
You are taking your package from the source environment and importing it into the target environment.
Review the errors encountered during inspection:
Whatis the first action you should take to Investigate the issue?

  • A. Check whether the object (UUID ending in 18028931) is included in this package
  • B. Check whether the object(UUD ending in 7t00000i4e7a)is included in this package
  • C. Check whether the object (UUID ending in 25606) is included in this package
  • D. Check whether the object(UUIDending in 18028821) is included in this package

Answer: B

Explanation:
Explanation
The error message indicates that the object with UUID ending in 18028821 has a dependency on another object with UUID ending in 7t00000i4e7a, which is missing from the target environment. Therefore, the first action to investigate the issue is to check whether the object with UUID ending in 7t00000i4e7a is included in this package or not. If not, then it should be added to the package or imported separately before importing the current package. Verified References: Appian Certified Lead Developer study guide, page 17, section
"Importing and Exporting Applications".


NEW QUESTION # 24
As part of your implementation workflow, users need to retrieve data stored in a third-party Oracle database on an interface. You need to design a way to query this information.
How should you set up this connection and query the data?

  • A. in the Administration Console configure the third-party database as a ''New Data Source,'' Then, use alqueryEntity to retrieve the data.
  • B. Configure a limed utility process that queries data from the thirdparty database daily, and stores It in the Applan business database, Then use alqueryEntity eating the Applan data source to retrieve the data.
  • C. Configure a Query DataBase node within the process model Then, type in the connection information, as well as a SQL query to execute and return the data in process variables.
  • D. Configure an expression-backed record type, calling an API to retrieve the data from the third-party database. Then, use allqueryRecordType to retrieve the data.

Answer: A

Explanation:
Explanation
To meet the application requirement of allowing users to navigate throughout the application while maintaining complete visibility in the application structure, and easily navigate to previous locations, you should include a breadcrumbs pattern on applicable interfaces to show the organizational hierarchy. A breadcrumbs pattern is a user interface component that displays the current location of the user within the application, and provides links to the previous levels of the hierarchy. For example, if the user is viewing a product details page, the breadcrumbs pattern could show something like "Home > Products > Product Details". This way, the user can see where they are in the application, and easily go back to any previous level by clicking on the corresponding link.
The other options are not as effective. Option A, using Tiles as Cards pattern on the home page to prominently display application choices, would provide a way for users to access different parts of the application from the home page, but it would not show the organizational hierarchy or allow users to navigate to previous locations.
Option B, implementing an Activity History pattern to track an organization's activity measures, would provide a way for users to see the recent actions performed by themselves or others in the application, but it would not show the organizational hierarchy or allow users to navigate to previous locations. Option C, implementing a drilldown report pattern to show detailed information about report data, would provide a way for users to explore different levels of data in a report, but it would not show the organizational hierarchy or allow users to navigate to previous locations.


NEW QUESTION # 25
You need to design a complex Appian integration to call a RESTful API. The RESTful API will be used to update a case in a customer's legacy system.
What are three prerequisites for designing the integration?

  • A. Understand the business rules to be applied to ensure the business logic of the data
  • B. Understand the different error codes managed by the API and the process of error handing m Appall
  • C. Understand whether this integration will be used in an interface or in a process model
  • D. Define the HTTP method that the integration will use.
  • E. Understand the content of the expected body. Deluding each field type and their limits

Answer: B,D,E

Explanation:
Explanation
To design a complex Appian integration to call a RESTful API, you need to have some prerequisites, such as:
* Define the HTTP method that the integration will use. The HTTP method is the action that the integration will perform on the API, such as GET, POST, PUT, PATCH, or DELETE. The HTTP method determines how the data will be sent and received by the API, and what kind of response will be expected.
* Understand the content of the expected body, including each field type and their limits. The body is the data that the integration will send to the API, or receive from the API, depending on the HTTP method.
The body can be in different formats, such as JSON, XML, or form data. You need to understand how to structure the body according to the API specification, and what kind of data types and values are allowed for each field.
* Understand the different error codes managed by the API and the process of error handling in Appian.
The error codes are the status codes that indicate whether the API request was successful or not, and what kind of problem occurred if not. The error codes can range from 200 (OK) to 500 (Internal Server Error), and each code has a different meaning and implication. You need to understand how to handle different error codes in Appian, and how to display meaningful messages to the user or log them for debugging purposes.
The other two options are not prerequisites for designing the integration, but rather considerations for implementing it.
* Understand whether this integration will be used in an interface or in a process model. This is not a prerequisite, but rather a decision that you need to make based on your application requirements and design. You can use an integration either in an interface or in a process model, depending on where you need to call the API and how you want to handle the response. For example, if you need to update a case in real-time based on user input, you may want to use an integration in an interface. If you need to update a case periodically based on a schedule or an event, you may want to use an integration in a process model.
* Understand the business rules to be applied to ensure the business logic of the data. This is not a prerequisite, but rather a part of your application logic that you need to implement after designing the integration. You need to apply business rules to validate, transform, or enrich the data that you send or
* receive from the API, according to your business requirements and logic. For example, you may need to check if the case status is valid before updating it in the legacy system, or you may need to add some additional information to the case data before displaying it in Appian.


NEW QUESTION # 26
You add an index on the searched field of a MySQL table with many rows (>100k).
The field would benefit greatly from the Index in which three scenarios?

  • A. The field contains many datetimes, covering a large range
  • B. The field contains a textual shot Business code.
  • C. The field contains a structured JSON.
  • D. The field contains long unstructured text such as a hash
  • E. The Add contains Dig integers, above and below 0.

Answer: A,B,E

Explanation:
Explanation
The field would benefit greatly from the index in the following scenarios:
* A. The field contains a textual short Business code. This is a scenario where an index can improve the performance of queries that search for exact matches or ranges of values in the field. A textual short Business code is likely to have high cardinality, meaning that it has many distinct values and low duplication. This makes the index more selective and efficient, as it can quickly narrow down the results based on the search criteria.
* C. The field contains many datetimes, covering a large range. This is a scenario where an index can improve the performance of queries that search for exact matches or ranges of values in the field. A datetime field is likely to have high cardinality, meaning that it has many distinct values and low duplication. This makes the index more selective and efficient, as it can quickly narrow down the results based on the search criteria.
* D. The field contains big integers, above and below 0. This is a scenario where an index can improve the performance of queries that search for exact matches or ranges of values in the field. A big integer field is likely to have high cardinality, meaning that it has many distinct values and low duplication. This makes the index more selective and efficient, as it can quickly narrow down the results based on the search criteria.
The other options are incorrect for the following reasons:
* B. The field contains long unstructured text such as a hash. This is a scenario where an index might not improve the performance of queries that search for exact matches or ranges of values in the field. A long unstructured text field is likely to have low cardinality, meaning that it has few distinct values and high duplication. This makes the index less selective and efficient, as it cannot quickly narrow down the results based on the search criteria. Moreover, indexing a long unstructured text field could increase thestorage space and maintenance cost for the database, which could affect the overall performance.
* E. The field contains a structured JSON. This is a scenario where an index might not improve the performance of queries that search for exact matches or ranges of values in the field. A structured JSON field is not a native data type in MySQL, and it requires special functions or operators to access or manipulate its elements. Indexing a structured JSON field could increase the complexity and overhead for the database, which could affect the overall performance. Verified References: Appian Documentation, section "Query Optimization".


NEW QUESTION # 27
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