{"id":15062,"date":"2026-09-17T08:58:11","date_gmt":"2026-09-17T08:58:11","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15062"},"modified":"2026-09-17T08:58:11","modified_gmt":"2026-09-17T08:58:11","slug":"cisco-ccna-automation-200-901-practice-test-questions-and-exam-dumps-part16-q301-q320","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/cisco-ccna-automation-200-901-practice-test-questions-and-exam-dumps-part16-q301-q320\/","title":{"rendered":"Cisco CCNA Automation 200-901 Practice Test Questions and Exam Dumps Part16 Q301-Q320"},"content":{"rendered":"

<\/h1>\n

View Full <\/b>Cisco CCNA Automation 200-901 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 301<\/b><\/h3>\n

Which Python module is commonly used to work with JSON data?<\/b><\/p>\n

    \n
  1. json<\/span><\/li>\n
  2. xmljson<\/span><\/li>\n
  3. dataformat<\/span><\/li>\n
  4. yamljson<\/span><\/li>\n<\/ol>\n

    Correct Answer: 1<\/b><\/p>\n

    Explanation<\/b><\/h3>\n

    The Python standard library includes the <\/span>json<\/span> module for encoding and decoding JSON data. Automation applications frequently receive JSON responses from REST APIs and need to convert those responses into Python dictionaries and lists for processing. The <\/span>json.loads()<\/span> function can parse a JSON string, while <\/span>json.dumps()<\/span> can serialize Python data into JSON text. This makes the module particularly useful for API-based network automation. The other listed module names are not standard Python modules for general JSON processing. Therefore, <\/span>json<\/span> is the correct answer.<\/span><\/p>\n

    Question 302<\/b><\/h3>\n

    Which Python function converts a JSON-formatted string into a Python object?<\/b><\/p>\n

      \n
    1. json.dump()<\/span><\/li>\n
    2. json.loads()<\/span><\/li>\n
    3. json.write()<\/span><\/li>\n
    4. json.parsefile()<\/span><\/li>\n<\/ol>\n

      Correct Answer: 2<\/b><\/p>\n

      Explanation<\/b><\/h3>\n

      The <\/span>json.loads()<\/span> function parses a JSON-formatted string and converts it into an appropriate Python object, such as a dictionary or list. This is useful when an automation application receives JSON content as text from an API and needs to inspect individual fields. In contrast, <\/span>json.dumps()<\/span> converts a Python object into a JSON-formatted string. The <\/span>dump()<\/span> and <\/span>load()<\/span> functions are commonly used when working directly with file objects. Therefore, <\/span>json.loads()<\/span> is the correct function for parsing a JSON string.<\/span><\/p>\n

      Question 303<\/b><\/h3>\n

      Which Python function converts a Python dictionary into a JSON-formatted string?<\/b><\/p>\n

        \n
      1. json.read()<\/span><\/li>\n
      2. json.loads()<\/span><\/li>\n
      3. json.dumps()<\/span><\/li>\n
      4. json.convert()<\/span><\/li>\n<\/ol>\n

        Correct Answer: 3<\/b><\/p>\n

        Explanation<\/b><\/h3>\n

        The <\/span>json.dumps()<\/span> function serializes a Python object, such as a dictionary or list, into a JSON-formatted string. This is commonly required when preparing data for an API request whose body must contain JSON. For example, automation software can construct a Python dictionary representing a network configuration and then use <\/span>json.dumps()<\/span> to create the request body. <\/span>json.loads()<\/span> performs the reverse operation by parsing JSON text into Python objects. Therefore, <\/span>json.dumps()<\/span> is the correct answer.<\/span><\/p>\n

        Question 304<\/b><\/h3>\n

        What is serialization in the context of automation?<\/b><\/p>\n

          \n
        1. Converting data into a format suitable for storage or transmission<\/span><\/li>\n
        2. Deleting unused variables<\/span><\/li>\n
        3. Encrypting every network packet<\/span><\/li>\n
        4. Restarting an API server<\/span><\/li>\n<\/ol>\n

          Correct Answer: 1<\/b><\/p>\n

          Explanation<\/b><\/h3>\n

          Serialization is the process of converting an in-memory data structure into a representation that can be stored or transmitted. JSON and YAML are common serialization formats used in automation. For example, a Python dictionary can be serialized into JSON before being sent as an API request body. The receiving system can then deserialize the data back into a usable structure. Serialization itself does not necessarily provide encryption, delete variables, or restart servers. Therefore, converting data into a format suitable for storage or transmission is the correct answer.<\/span><\/p>\n

          Question 305<\/b><\/h3>\n

          Which HTTP method is normally used to retrieve information without modifying the resource?<\/b><\/p>\n

            \n
          1. POST<\/span><\/li>\n
          2. DELETE<\/span><\/li>\n
          3. GET<\/span><\/li>\n
          4. PATCH<\/span><\/li>\n<\/ol>\n

            Correct Answer: 3<\/b><\/p>\n

            Explanation<\/b><\/h3>\n

            The HTTP <\/span>GET<\/span> method is normally used to retrieve information from a server without requesting a modification to the resource. Network automation scripts frequently use GET requests to retrieve device information, interface details, configuration data, or operational status from REST APIs. <\/span>POST<\/span> is commonly used to create resources or trigger operations, <\/span>PATCH<\/span> is commonly used for partial updates, and <\/span>DELETE<\/span> is used to remove resources. Therefore, GET is the correct method for retrieving information without modifying the resource.<\/span><\/p>\n

            Question 306<\/b><\/h3>\n

            Which HTTP status code generally indicates that a new resource was successfully created?<\/b><\/p>\n

              \n
            1. 201<\/span><\/li>\n
            2. 204<\/span><\/li>\n
            3. 304<\/span><\/li>\n
            4. 500<\/span><\/li>\n<\/ol>\n

              Correct Answer: 1<\/b><\/p>\n

              Explanation<\/b><\/h3>\n

              HTTP status code <\/span>201 Created<\/span> generally indicates that a request successfully resulted in the creation of a new resource. In REST API automation, a POST request that creates an object may return a 201 response. The response can also include information about the newly created resource. Status code 204 indicates successful processing with no content, 304 relates to cached content, and 500 indicates an internal server error. Therefore, HTTP 201 is the standard status code associated with successful resource creation.<\/span><\/p>\n

              Question 307<\/b><\/h3>\n

              Which HTTP status code generally indicates that the client does not have permission to perform the requested operation?<\/b><\/p>\n

                \n
              1. 301<\/span><\/li>\n
              2. 401<\/span><\/li>\n
              3. 403<\/span><\/li>\n
              4. 503<\/span><\/li>\n<\/ol>\n

                Correct Answer: 3<\/b><\/p>\n

                Explanation<\/b><\/h3>\n

                HTTP status code <\/span>403 Forbidden<\/span> generally indicates that the server understood the request but refuses to authorize the requested operation. In API automation, this can happen when an authenticated user or token lacks the required permissions for a particular endpoint or operation. This differs from HTTP 401, which normally indicates an authentication problem. HTTP 301 represents a redirect, while 503 indicates that the service is unavailable. Therefore, 403 is the appropriate status code when the client is not permitted to perform the operation.<\/span><\/p>\n

                Question 308<\/b><\/h3>\n

                What does HTTP status code 404 generally indicate?<\/b><\/p>\n

                  \n
                1. Successful creation<\/span><\/li>\n
                2. Resource not found<\/span><\/li>\n
                3. Authentication successful<\/span><\/li>\n
                4. Server rebooted<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 2<\/b><\/p>\n

                  Explanation<\/b><\/h3>\n

                  HTTP status code <\/span>404 Not Found<\/span> generally means that the requested resource could not be found at the specified endpoint. In network automation, this can occur when an API URL is incorrect, a resource identifier does not exist, or an endpoint is unavailable. It is important to distinguish this from 401 authentication failures and 403 authorization failures. A 404 response does not necessarily mean the entire API server is unavailable; it often means the requested resource or path could not be located. Therefore, resource not found is correct.<\/span><\/p>\n

                  Question 309<\/b><\/h3>\n

                  Which HTTP status code commonly indicates a server-side internal error?<\/b><\/p>\n

                    \n
                  1. 400<\/span><\/li>\n
                  2. 201<\/span><\/li>\n
                  3. 404<\/span><\/li>\n
                  4. 500<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 4<\/b><\/p>\n

                    Explanation<\/b><\/h3>\n

                    HTTP status code <\/span>500 Internal Server Error<\/span> indicates that the server encountered an unexpected condition that prevented it from fulfilling the request. In automation, a 500 response may indicate an application-side problem, temporary service issue, or unexpected backend condition. It does not necessarily mean the automation code itself is incorrect, although the request can sometimes expose server-side problems. HTTP 400 represents a bad request, 201 indicates successful resource creation, and 404 indicates that a resource was not found. Therefore, 500 is the correct answer.<\/span><\/p>\n

                    Question 310<\/b><\/h3>\n

                    Which API authentication approach uses a token sent with an HTTP request to identify or authorize the client?<\/b><\/p>\n

                      \n
                    1. Token-based authentication<\/span><\/li>\n
                    2. DNS authentication<\/span><\/li>\n
                    3. MAC authentication<\/span><\/li>\n
                    4. VLAN authentication<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1<\/b><\/p>\n

                      Explanation<\/b><\/h3>\n

                      Token-based authentication uses a token to authenticate or authorize API requests. The token is commonly supplied through an HTTP header such as <\/span>Authorization<\/span>, although the exact mechanism depends on the API. Tokens are widely used in automation because scripts can authenticate without repeatedly sending a username and password with every request. Secure token handling is important because possession of a valid token may provide access to protected resources. DNS, MAC, and VLAN are networking concepts and do not describe this API authentication mechanism. Therefore, token-based authentication is correct.<\/span><\/p>\n

                      Question 311<\/b><\/h3>\n

                      Which Python module is commonly used to work with regular expressions?<\/b><\/p>\n

                        \n
                      1. regexlib<\/span><\/li>\n
                      2. re<\/span><\/li>\n
                      3. pattern<\/span><\/li>\n
                      4. matchlib<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2<\/b><\/p>\n

                        Explanation<\/b><\/h3>\n

                        Python’s standard-library <\/span>re<\/span> module provides support for regular expressions. Regular expressions can be useful in automation for finding patterns in text, validating strings, extracting values, or processing command output when structured data is unavailable. For example, an automation script could use a regular expression to identify IP addresses or interface names within text. While other third-party libraries may provide regular-expression functionality, <\/span>re<\/span> is the standard Python module. Therefore, <\/span>re<\/span> is the correct answer.<\/span><\/p>\n

                        Question 312<\/b><\/h3>\n

                        Which regular-expression function searches for a pattern anywhere within a string?<\/b><\/p>\n

                          \n
                        1. re.search()<\/span><\/li>\n
                        2. re.findonly()<\/span><\/li>\n
                        3. re.scanall()<\/span><\/li>\n
                        4. re.locate()<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 1<\/b><\/p>\n

                          Explanation<\/b><\/h3>\n

                          The Python <\/span>re.search()<\/span> function searches through a string for the first location where the specified regular-expression pattern produces a match. This is useful when an automation script needs to determine whether a particular pattern exists somewhere in command output or API-generated text. <\/span>re.match()<\/span> instead attempts to match the pattern at the beginning of the string. The functions <\/span>re.findonly()<\/span>, <\/span>re.scanall()<\/span>, and <\/span>re.locate()<\/span> are not standard functions in Python’s <\/span>re<\/span> module. Therefore, <\/span>re.search()<\/span> is the correct answer.<\/span><\/p>\n

                          Question 313<\/b><\/h3>\n

                          What is the primary purpose of environment variables in automation applications?<\/b><\/p>\n

                            \n
                          1. To store configuration values outside the source code<\/span><\/li>\n
                          2. To replace network interfaces<\/span><\/li>\n
                          3. To create Git commits automatically<\/span><\/li>\n
                          4. To disable operating-system security<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1<\/b><\/p>\n

                            Explanation<\/b><\/h3>\n

                            Environment variables provide a way to supply configuration information to an application without placing those values directly inside the source code. They can be useful for values such as API endpoints, environment names, or credentials when combined with appropriate secret-management practices. Keeping environment-specific information outside the code can make applications easier to deploy across development, testing, and production environments. Environment variables do not replace network interfaces, automatically create Git commits, or disable operating-system security. Therefore, storing configuration values outside source code is the correct answer.<\/span><\/p>\n

                            Question 314<\/b><\/h3>\n

                            Which practice helps prevent secrets from accidentally being committed to a Git repository?<\/b><\/p>\n

                              \n
                            1. Add sensitive files to <\/span>.gitignore<\/span> when appropriate<\/span><\/li>\n
                            2. Put passwords into README files<\/span><\/li>\n
                            3. Commit API tokens before every push<\/span><\/li>\n
                            4. Publish private keys in comments<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 1<\/b><\/p>\n

                              Explanation<\/b><\/h3>\n

                              Using <\/span>.gitignore<\/span> can help prevent designated sensitive or local files from being accidentally added to a Git repository. For example, a project may exclude local environment files that contain development credentials. However, <\/span>.gitignore<\/span> alone is not a complete secrets-management solution, and already committed secrets may remain in Git history. Secrets should preferably be stored using an appropriate secure mechanism. Putting credentials in README files, comments, or commits exposes them unnecessarily. Therefore, using <\/span>.gitignore<\/span> appropriately is a useful preventive practice.<\/span><\/p>\n

                              Question 315<\/b><\/h3>\n

                              What is the main purpose of a pull request in a collaborative Git workflow?<\/b><\/p>\n

                                \n
                              1. To request review and integration of proposed changes<\/span><\/li>\n
                              2. To physically reboot a router<\/span><\/li>\n
                              3. To install Python dependencies<\/span><\/li>\n
                              4. To create an IP address<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 1<\/b><\/p>\n

                                Explanation<\/b><\/h3>\n

                                A pull request is commonly used to propose changes from one branch for review and possible integration into another branch. In automation projects, pull requests can provide opportunities for code review, automated testing, security checks, and discussion before changes are merged. This workflow helps teams maintain quality and visibility over infrastructure and application changes. A pull request does not reboot network devices, install Python packages, or assign IP addresses. Therefore, requesting review and integration of proposed changes is its primary purpose.<\/span><\/p>\n

                                Question 316<\/b><\/h3>\n

                                What is continuous integration (CI) primarily intended to automate?<\/b><\/p>\n

                                  \n
                                1. Frequent building and testing of code changes<\/span><\/li>\n
                                2. Manual configuration of every network device<\/span><\/li>\n
                                3. Physical replacement of hardware<\/span><\/li>\n
                                4. DNS registration only<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 1<\/b><\/p>\n

                                  Explanation<\/b><\/h3>\n

                                  Continuous integration, or CI, is a development practice in which changes are frequently integrated into a shared codebase and automatically subjected to checks such as linting, unit tests, builds, or other validation. In network automation, CI can help detect problems in scripts, templates, and configuration definitions before they are deployed. CI does not replace physical hardware work or limit its function to DNS registration. Automated validation provides rapid feedback to developers and reduces the chance that defective changes proceed further in the workflow. Therefore, frequent automated building and testing is correct.<\/span><\/p>\n

                                  Question 317<\/b><\/h3>\n

                                  Which tool can be used to automate CI\/CD pipelines and execute build or testing jobs?<\/b><\/p>\n

                                    \n
                                  1. Jenkins<\/span><\/li>\n
                                  2. Telnet<\/span><\/li>\n
                                  3. SCP<\/span><\/li>\n
                                  4. NTP<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1<\/b><\/p>\n

                                    Explanation<\/b><\/h3>\n

                                    Jenkins is an automation server commonly used to implement CI\/CD pipelines. It can execute jobs such as source-code retrieval, linting, unit tests, packaging, and deployment steps. In network automation environments, Jenkins can integrate with Git repositories and automation tools to validate changes before deployment. Telnet is a remote-access protocol, SCP is used for secure file transfer, and NTP synchronizes time. These technologies do not serve the same CI\/CD orchestration role. Therefore, Jenkins is the correct answer.<\/span><\/p>\n

                                    Question 318<\/b><\/h3>\n

                                    Which approach is most appropriate for validating that a Python automation function produces the expected result?<\/b><\/p>\n

                                      \n
                                    1. Unit testing<\/span><\/li>\n
                                    2. Packet capture only<\/span><\/li>\n
                                    3. DNS lookup only<\/span><\/li>\n
                                    4. Screen scraping<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 1<\/b><\/p>\n

                                      Explanation<\/b><\/h3>\n

                                      Unit testing is appropriate for validating that an individual Python function behaves as expected for defined inputs. A test can provide known input values and verify that the function returns the expected output or raises the expected exception. This makes unit tests useful for catching logic errors before an automation application interacts with production infrastructure. Packet captures, DNS lookups, and screen scraping may be useful for other tasks but do not directly validate the internal behavior of a Python function. Therefore, unit testing is the correct approach.<\/span><\/p>\n

                                      Question 319<\/b><\/h3>\n

                                      What is the primary benefit of using structured logging in an automation application?<\/b><\/p>\n

                                        \n
                                      1. It makes log information easier for systems to parse and analyze<\/span><\/li>\n
                                      2. It eliminates the need for testing<\/span><\/li>\n
                                      3. It automatically repairs all configuration errors<\/span><\/li>\n
                                      4. It prevents every network failure<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 1<\/b><\/p>\n

                                        Explanation<\/b><\/h3>\n

                                        Structured logging stores log information in a consistent machine-readable format, often using fields such as timestamp, severity, device, operation, and message. This makes logs easier to search, filter, aggregate, and analyze using monitoring or observability systems. Structured logs can be particularly useful when automation processes hundreds or thousands of devices and generate large volumes of operational information. Logging does not eliminate testing or automatically repair every configuration error. It also cannot prevent every network failure. Therefore, making log information easier for systems to parse and analyze is the correct answer.<\/span><\/p>\n

                                        Question 320<\/b><\/h3>\n

                                        Which logging level is generally used for highly detailed diagnostic information during troubleshooting?<\/b><\/p>\n

                                          \n
                                        1. ERROR<\/span><\/li>\n
                                        2. CRITICAL<\/span><\/li>\n
                                        3. DEBUG<\/span><\/li>\n
                                        4. ALERT<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 3<\/b><\/p>\n

                                          Explanation<\/b><\/h3>\n

                                          The <\/span>DEBUG<\/span> logging level is generally used for highly detailed diagnostic information that can help developers troubleshoot application behavior. In automation, debug messages may include information about processing steps, API interactions, variable values, or decision points, depending on how the application is designed. Higher-severity levels such as ERROR or CRITICAL are generally used for significant problems. Debug logging can be especially useful during development but may generate large amounts of information in production environments. Therefore, DEBUG is the correct answer.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Cisco CCNA Automation 200-901 Exam Dumps and Practice Test Dumps.   Question 301 Which Python module is commonly used to work with JSON data? json xmljson dataformat yamljson Correct Answer: 1 Explanation The Python standard library includes the json module for encoding and decoding JSON data. Automation applications frequently receive JSON responses from […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15062"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=15062"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15062\/revisions"}],"predecessor-version":[{"id":15072,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15062\/revisions\/15072"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15062"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15062"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15062"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}