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[General] CDP-3002 Accurate Test - CDP-3002 Valid Test Preparation

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【General】 CDP-3002 Accurate Test - CDP-3002 Valid Test Preparation

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Cloudera CDP Data Engineer - Certification Exam Sample Questions (Q173-Q178):NEW QUESTION # 173
Which strategy is most effective for managing schema evolution in a big data application that relies on schema inference?
  • A. Integrating schema registry services that track and manage schema versions
  • B. Completely disabling schema inference and relying on static schemas
  • C. Using a single version of the schema for all data, regardless of changes
  • D. Manually updating the inferred schema for each data ingestion
Answer: A
Explanation:
Integrating schema registry services to track and manage schema versions is the most effective strategy for managing schema evolution in applications that rely on schema inference. Schema registries provide a centralized repository for schemas, enabling applications to handle changes in data structure over time gracefully. This approach ensures compatibility across different data versions and simplifies schema management, particularly in systems that must adapt to evolving data formats without disrupting ongoing data processing.

NEW QUESTION # 174
What is the impact of query vectorization in Cloudera's Optimization Framework?
  • A. It improves query performance by processing batches of rows together
  • B. It encrypts query results for security
  • C. It slows down query execution by adding complexity
  • D. It enables the execution of SQL commands
Answer: A
Explanation:
Query vectorization improves performance by allowing multiple rows to be processed together as a batch, instead of one row at a time. This reduces CPU usage and improves throughput for query operations-Explain Plans

NEW QUESTION # 175
For automating the deployment of Spark applications within a Cloudera Data Engineering (CDE. environment using the CDE CLI, what is the primary consideration to ensure seamless integration with existing CI/CD pipelines?
  • A. Embedding CDE CLI commands within pipeline scripts and managing credentials securely
  • B. Converting all Spark code to be Kubernetes-native before deployment
  • C. Utilizing the cde job create command with appropriate flags for version control integration
  • D. Ensuring all Spark applications are containerized before deployment
Answer: A
Explanation:
The primary consideration for automating the deployment of Spark applications within a CDE environment using the CDE CLI and ensuring seamless integration with existing CI/CD pipelines involves embedding CDE CLI commands within the pipeline scripts and managing credentials securely. This approach allows the automation process to programmatically interact with the CDE service to deploy or update Spark applications, while also emphasizing the importance of secure credential management to protect access to the CDE environment and maintain security best practices.

NEW QUESTION # 176
In Apache Airflow, what is the purpose of setting max_active_runs in a DAG's configuration?
  • A. To specify the maximum number of DAG runs that can be executed in parallel.
  • B. To limit the number of task instances that can run concurrently within the DAG.
  • C. To control the number of retries for a failed task.
  • D. To determine the maximum number of DAG files that can be parsed at any given time.
Answer: A
Explanation:
The max_active_runs setting in a DAG's configuration limits the number of DAG runs that can be executed concurrently. This is useful for controlling resource utilization and ensuring that the Airflow instance does not get overwhelmed by too many parallel executions of the same DAG.

NEW QUESTION # 177
For scripting and automation purposes, how can Cloudera's CLI tools be integrated into administrative workflows?
  • A. By creating custom plugins for web browsers to manage Cloudera services.
  • B. Incorporating CLI commands into shell scripts or automation tools like Ansible, Chef, or Puppet.
  • C. Using exclusively manual CLI commands for each task without automation.
  • D. CLI tools cannot be integrated into administrative workflows; they are only for interactive use.
Answer: B
Explanation:
Cloudera's CLI tools can be integrated into administrative workflows by incorporating CLI commands into shell scripts or automation tools like Ansible, Chef, or Puppet. This approach allows for the automation of repetitive tasks and the embedding of Cloudera management operations into larger automated processes, enhancing efficiency and reducing the potential for human error in cluster management and operations.

NEW QUESTION # 178
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