{"id":23523,"date":"2026-09-28T07:26:41","date_gmt":"2026-09-28T07:26:41","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=23523"},"modified":"2026-09-28T07:26:41","modified_gmt":"2026-09-28T07:26:41","slug":"confluent-ccdak-practice-test-questions-and-exam-dumps-part20-q381-400","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/confluent-ccdak-practice-test-questions-and-exam-dumps-part20-q381-400\/","title":{"rendered":"Confluent CCDAK Practice Test Questions and Exam Dumps Part20 Q381-400"},"content":{"rendered":"

View Full <\/b>Confluent CCDAK Exam Dumps<\/b><\/a> and Practice Test Dumps<\/b><\/h2>\n

 <\/p>\n

Question 381<\/b><\/h3>\n

Which Kafka Admin API method creates new topics programmatically?<\/b><\/p>\n

    \n
  1. describeTopics()<\/span><\/li>\n
  2. createTopics()<\/span><\/li>\n
  3. deleteTopics()<\/span><\/li>\n
  4. listTopics()<\/span><\/li>\n<\/ol>\n

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

    Explanation:<\/b><\/p>\n

    The Kafka Admin API provides createTopics() for programmatically creating one or more topics. Applications can use this method when topic provisioning needs to be integrated into administrative workflows or automation. describeTopics() retrieves metadata about existing topics, deleteTopics() removes topics, and listTopics() discovers available topics. Using the Admin API avoids relying exclusively on command-line administration and allows Java applications or management services to perform Kafka administration directly through supported client interfaces.<\/span><\/p>\n

    Question 382<\/b><\/h3>\n

    Which Kafka broker setting limits total retained log size per partition?<\/b><\/p>\n

      \n
    1. log.retention.ms<\/span><\/li>\n
    2. log.segment.bytes<\/span><\/li>\n
    3. log.retention.bytes<\/span><\/li>\n
    4. log.roll.ms<\/span><\/li>\n<\/ol>\n

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

      Explanation:<\/b><\/p>\n

      The log.retention.bytes setting specifies the maximum amount of log data retained per partition before older segments become eligible for deletion. It provides a size-based retention mechanism. log.retention.ms instead applies a time-based retention limit, while log.segment.bytes controls the size at which individual log segments are rolled. log.roll.ms controls time-based segment rolling. Understanding the difference between retention and segment-rolling settings is important when configuring storage consumption and predicting when historical Kafka records become eligible for removal.<\/span><\/p>\n

      Question 383<\/b><\/h3>\n

      Which Kafka Streams operation transforms values while preserving record keys?<\/b><\/p>\n

        \n
      1. transformValues()<\/span><\/li>\n
      2. transform()<\/span><\/li>\n
      3. flatTransform()<\/span><\/li>\n
      4. map()<\/span><\/li>\n<\/ol>\n

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

        Explanation:<\/b><\/p>\n

        The Kafka Streams transformValues() operation applies a value transformation while retaining the existing record keys. This makes it useful when application logic needs to modify values without changing how records are partitioned by key. Other transformation APIs may provide broader control over keys, values, or record generation. Selecting transformValues() is appropriate when key preservation is an explicit requirement. This distinction becomes important in stateful topologies because changing keys can require repartitioning before later key-based processing.<\/span><\/p>\n

        Question 384<\/b><\/h3>\n

        Which ksqlDB statement removes an existing stream definition?<\/b><\/p>\n

          \n
        1. REMOVE STREAM<\/span><\/li>\n
        2. DELETE STREAM<\/span><\/li>\n
        3. DROP STREAM<\/span><\/li>\n
        4. ERASE STREAM<\/span><\/li>\n<\/ol>\n

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

          Explanation:<\/b><\/p>\n

          The DROP STREAM statement removes a stream definition from ksqlDB. Depending on the command and configuration, associated query or topic behavior can also involve additional considerations, so administrators should understand the effect before executing destructive statements. REMOVE STREAM, DELETE STREAM, and ERASE STREAM are not the standard ksqlDB syntax for dropping a stream. Knowing the correct DDL statement helps users manage ksqlDB objects consistently and avoid invalid commands during operational maintenance.<\/span><\/p>\n

          Question 385<\/b><\/h3>\n

          Which Kafka broker setting determines the timestamp type assigned to records?<\/b><\/p>\n

            \n
          1. log.message.timestamp.type<\/span><\/li>\n
          2. message.timestamp.type<\/span><\/li>\n
          3. record.timestamp.mode<\/span><\/li>\n
          4. broker.timestamp.policy<\/span><\/li>\n<\/ol>\n

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

            Explanation:<\/b><\/p>\n

            The message.timestamp.type broker or topic configuration determines how Kafka assigns timestamps to records. Kafka can use timestamps supplied by producers or assign timestamps based on broker-side processing time, depending on the configured mode. Timestamp behavior affects time-based processing, retention calculations, and stream-processing semantics. The other listed names are not the standard Kafka configuration for selecting record timestamp behavior. Administrators should understand timestamp configuration when applications depend on event time or broker processing time.<\/span><\/p>\n

            Question 386<\/b><\/h3>\n

            Which Kafka Streams method can produce multiple records from one input record?<\/b><\/p>\n

              \n
            1. mapValues()<\/span><\/li>\n
            2. filter()<\/span><\/li>\n
            3. flatTransform()<\/span><\/li>\n
            4. peek()<\/span><\/li>\n<\/ol>\n

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

              Explanation:<\/b><\/p>\n

              The Kafka Streams flatTransform() operation allows a transformation to produce zero, one, or multiple output records for an input record. This makes it useful when one source event may need to generate several downstream records. mapValues() transforms values without providing the same multi-output behavior, filter() decides whether a record continues, and peek() is primarily intended for observing records without changing the stream. Choosing the appropriate transformation API helps developers model one-to-many processing patterns accurately.<\/span><\/p>\n

              Question 387<\/b><\/h3>\n

              Which Kafka Admin API method removes records before a specified offset?<\/b><\/p>\n

                \n
              1. deleteRecords()<\/span><\/li>\n
              2. purgeRecords()<\/span><\/li>\n
              3. truncateTopics()<\/span><\/li>\n
              4. removeOffsets()<\/span><\/li>\n<\/ol>\n

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

                Explanation:<\/b><\/p>\n

                The Kafka Admin API deleteRecords() method can remove records before specified offsets from partitions. This provides an administrative mechanism for truncating retained records without deleting the entire topic. It is useful in controlled operational scenarios where historical data before a known offset is no longer required. The other listed method names are not the standard Kafka Admin API operation for this purpose. Because record deletion is irreversible for the affected data, administrators should carefully verify the target topic, partition, and offset before execution.<\/span><\/p>\n

                Question 388<\/b><\/h3>\n

                Which Kafka Connect connector type imports records from an external system into Kafka?<\/b><\/p>\n

                  \n
                1. Sink connector<\/span><\/li>\n
                2. Source connector<\/span><\/li>\n
                3. Transform connector<\/span><\/li>\n
                4. Converter connector<\/span><\/li>\n<\/ol>\n

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

                  Explanation:<\/b><\/p>\n

                  A Kafka Connect source connector reads data from an external system and publishes records into Kafka topics. Examples include connectors that ingest data from databases, files, or other external services. A sink connector performs the opposite direction by consuming Kafka records and delivering them to an external destination. SMTs modify records within Connect processing, while converters handle serialization and deserialization between Kafka Connect data and byte representations. Understanding source-versus-sink direction is fundamental when designing Kafka Connect data pipelines.<\/span><\/p>\n

                  Question 389<\/b><\/h3>\n

                  Which Kafka Admin API operation retrieves configuration values for broker resources?<\/b><\/p>\n

                    \n
                  1. alterConfigs()<\/span><\/li>\n
                  2. incrementalAlterConfigs()<\/span><\/li>\n
                  3. describeConfigs()<\/span><\/li>\n
                  4. validateConfigs()<\/span><\/li>\n<\/ol>\n

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

                    Explanation:<\/b><\/p>\n

                    The Kafka Admin API describeConfigs() retrieves configuration information for supported Kafka resources. It can be used to inspect broker, topic, and other resource configuration values depending on the requested resource type. alterConfigs() and incrementalAlterConfigs() are used for configuration changes, while validateConfigs() is not the standard operation for retrieving current configuration values. Administrators can use describeConfigs() when troubleshooting configuration behavior or verifying the effective settings of Kafka resources.<\/span><\/p>\n

                    Question 390<\/b><\/h3>\n

                    Which ksqlDB statement displays server and session properties?<\/b><\/p>\n

                      \n
                    1. SHOW QUERIES<\/span><\/li>\n
                    2. SHOW PROPERTIES<\/span><\/li>\n
                    3. SHOW FUNCTIONS<\/span><\/li>\n
                    4. SHOW TOPICS<\/span><\/li>\n<\/ol>\n

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

                      Explanation:<\/b><\/p>\n

                      The ksqlDB SHOW PROPERTIES statement displays available server and session properties. These properties can help users understand configuration values that influence ksqlDB behavior. SHOW QUERIES provides information about queries, SHOW FUNCTIONS lists available functions, and SHOW TOPICS provides topic information. Property inspection is useful when troubleshooting unexpected query behavior or verifying configuration-related details in a ksqlDB environment.<\/span><\/p>\n

                      Question 391<\/b><\/h3>\n

                      Which Kafka Admin API method changes partition replica assignments?<\/b><\/p>\n

                        \n
                      1. alterPartitionReassignments()<\/span><\/li>\n
                      2. updateReplicas()<\/span><\/li>\n
                      3. movePartitions()<\/span><\/li>\n
                      4. changeReplicaMap()<\/span><\/li>\n<\/ol>\n

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

                        Explanation:<\/b><\/p>\n

                        The Admin API method alterPartitionReassignments() is used to modify partition replica assignments. Replica reassignment can move replicas between brokers to address capacity, balancing, or infrastructure changes. The operation concerns where partition replicas are placed rather than changing the number of partitions in a topic. The other listed method names are not standard Kafka Admin API methods for replica reassignment. Careful planning is important because reassignment can generate network and disk activity while replicas synchronize.<\/span><\/p>\n

                        Question 392<\/b><\/h3>\n

                        Which Kafka Streams method applies a transformation while retaining access to processing context?<\/b><\/p>\n

                          \n
                        1. mapValues()<\/span><\/li>\n
                        2. transform()<\/span><\/li>\n
                        3. filter()<\/span><\/li>\n
                        4. branch()<\/span><\/li>\n<\/ol>\n

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

                          Explanation:<\/b><\/p>\n

                          The Kafka Streams transform() operation provides a lower-level transformation mechanism where processing logic can access the processor context. This enables advanced processing scenarios that require metadata or scheduling capabilities beyond ordinary stateless transformations. mapValues() focuses on value changes, filter() selects records, and branch() separates records according to predicates. The transform() API is therefore appropriate when application logic needs more direct control over record processing and contextual information.<\/span><\/p>\n

                          Question 393<\/b><\/h3>\n

                          Which Kafka broker setting controls the maximum difference allowed between record and broker timestamps?<\/b><\/p>\n

                            \n
                          1. message.timestamp.type<\/span><\/li>\n
                          2. log.retention.ms<\/span><\/li>\n
                          3. message.timestamp.difference.max.ms<\/span><\/li>\n
                          4. log.segment.bytes<\/span><\/li>\n<\/ol>\n

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

                            Explanation:<\/b><\/p>\n

                            The message.timestamp.difference.max.ms setting controls the maximum permitted difference between a record timestamp and the broker’s current time when timestamp validation is applicable. This helps prevent records with unexpectedly distant timestamps from entering the log under configurations that enforce the limit. message.timestamp.type determines which timestamp source Kafka uses, while retention and segment settings control storage lifecycle behavior. Timestamp validation can be important in environments where event producers may have inaccurate clocks or delayed records.<\/span><\/p>\n

                            Question 394<\/b><\/h3>\n

                            Which ksqlDB statement explains the execution plan of a query?<\/b><\/p>\n

                              \n
                            1. PLAN query<\/span><\/li>\n
                            2. EXPLAIN query<\/span><\/li>\n
                            3. ANALYZE query<\/span><\/li>\n
                            4. DESCRIBE PLAN<\/span><\/li>\n<\/ol>\n

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

                              Explanation:<\/b><\/p>\n

                              The ksqlDB EXPLAIN statement displays information about the execution plan associated with a query. It can help developers understand how ksqlDB represents and executes processing logic. This is useful when examining topology structure or investigating how statements are translated into underlying processing operations. The other listed forms are not the standard ksqlDB syntax for obtaining a query execution plan. Query-plan inspection can provide valuable context before changing a production stream-processing application.<\/span><\/p>\n

                              Question 395<\/b><\/h3>\n

                              Which Kafka Admin API method retrieves offsets committed by a consumer group?<\/b><\/p>\n

                                \n
                              1. listConsumerGroupOffsets()<\/span><\/li>\n
                              2. describeGroupOffsets()<\/span><\/li>\n
                              3. fetchCommittedOffsets()<\/span><\/li>\n
                              4. getConsumerOffsets()<\/span><\/li>\n<\/ol>\n

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

                                Explanation:<\/b><\/p>\n

                                The Kafka Admin API provides listConsumerGroupOffsets() for retrieving committed offsets associated with a consumer group. This is useful for administrative tools, monitoring systems, and applications that need to inspect group progress without acting as the consumer itself. The operation focuses on committed group state rather than the consumer’s current in-memory position. The other names are not standard Kafka Admin API methods for this task. Examining committed offsets can help administrators understand where a group is positioned across its assigned partitions.<\/span><\/p>\n

                                Question 396<\/b><\/h3>\n

                                Which Kafka Streams method can transform records into zero or more outputs with custom context?<\/b><\/p>\n

                                  \n
                                1. transformValues()<\/span><\/li>\n
                                2. flatTransform()<\/span><\/li>\n
                                3. flatTransformValues()<\/span><\/li>\n
                                4. mapValues()<\/span><\/li>\n<\/ol>\n

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

                                  Explanation:<\/b><\/p>\n

                                  The flatTransformValues() operation allows value-oriented transformation logic to produce zero or more outputs while providing access to the processing context. It is useful when one input record may generate multiple results and the transformation needs contextual processing capabilities. transformValues() is designed for value transformations without the same flat-output behavior, while mapValues() provides simpler value mapping. Selecting the correct API depends on whether the application needs multiple outputs and whether processor context must be available.<\/span><\/p>\n

                                  Question 397<\/b><\/h3>\n

                                  Which Kafka Admin API method lists consumer groups in a cluster?<\/b><\/p>\n

                                    \n
                                  1. listConsumerGroups()<\/span><\/li>\n
                                  2. describeConsumerGroups()<\/span><\/li>\n
                                  3. findConsumerGroups()<\/span><\/li>\n
                                  4. getConsumerGroups()<\/span><\/li>\n<\/ol>\n

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

                                    Explanation:<\/b><\/p>\n

                                    The Kafka Admin API method listConsumerGroups() retrieves information about consumer groups available in the cluster. This is useful for administrative applications that need to discover groups before performing additional inspection or management operations. describeConsumerGroups() is used for obtaining details about specified groups rather than discovering the group list itself. The other listed names are not standard Kafka Admin API methods. Group discovery is commonly used as an initial step in monitoring and operational tooling.<\/span><\/p>\n

                                    Question 398<\/b><\/h3>\n

                                    Which Kafka broker setting controls how long delete markers remain in compacted logs?<\/b><\/p>\n

                                      \n
                                    1. log.cleaner.threads<\/span><\/li>\n
                                    2. log.cleaner.delete.retention.ms<\/span><\/li>\n
                                    3. log.retention.bytes<\/span><\/li>\n
                                    4. log.roll.ms<\/span><\/li>\n<\/ol>\n

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

                                      Explanation:<\/b><\/p>\n

                                      The log.cleaner.delete.retention.ms setting controls how long delete markers, also called tombstones, are retained in compacted topics before they can be removed by the log cleaner. Tombstones are important because they communicate deletions to consumers and ensure deleted keys can eventually disappear from compacted logs. This setting is different from general byte-based retention and segment-rolling configurations. Proper tuning requires understanding how compaction and deletion interact so that consumers have sufficient opportunity to observe deletion markers.<\/span><\/p>\n

                                      Question 399<\/b><\/h3>\n

                                      Which Kafka Admin API method retrieves the current consumer-group description?<\/b><\/p>\n

                                        \n
                                      1. describeConsumerGroups()<\/span><\/li>\n
                                      2. listConsumerGroups()<\/span><\/li>\n
                                      3. inspectGroups()<\/span><\/li>\n
                                      4. getGroupState()<\/span><\/li>\n<\/ol>\n

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

                                        Explanation:<\/b><\/p>\n

                                        The Kafka Admin API describeConsumerGroups() retrieves detailed information about specified consumer groups. The returned information can include group state, members, assignments, and coordinator-related details. listConsumerGroups() is intended for discovering available groups rather than describing their complete state. The remaining options are not standard Kafka Admin API methods. Consumer-group descriptions are valuable when diagnosing membership changes, assignment behavior, or operational issues affecting consumers in distributed applications.<\/span><\/p>\n

                                        Question 400<\/b><\/h3>\n

                                        Which ksqlDB command removes a persistent query from execution?<\/b><\/p>\n

                                          \n
                                        1. DROP QUERY<\/span><\/li>\n
                                        2. REMOVE QUERY<\/span><\/li>\n
                                        3. TERMINATE<\/span><\/li>\n
                                        4. DELETE QUERY<\/span><\/li>\n<\/ol>\n

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

                                          Explanation:<\/b><\/p>\n

                                          The ksqlDB TERMINATE statement stops a running persistent query. This is an operational command used when a query needs to be stopped without necessarily removing every associated stream or table definition. It is distinct from DDL operations that manage ksqlDB objects. DROP QUERY, REMOVE QUERY, and DELETE QUERY are not the standard command forms for terminating a running query. Understanding query lifecycle commands helps administrators safely manage persistent processing workloads and respond to operational requirements.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Confluent CCDAK Exam Dumps and Practice Test Dumps   Question 381 Which Kafka Admin API method creates new topics programmatically? describeTopics() createTopics() deleteTopics() listTopics() Correct Answer: 2 Explanation: The Kafka Admin API provides createTopics() for programmatically creating one or more topics. Applications can use this method when topic provisioning needs to be integrated […]<\/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\/23523"}],"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=23523"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23523\/revisions"}],"predecessor-version":[{"id":23524,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/23523\/revisions\/23524"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=23523"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=23523"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=23523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}