CDP-3002 Exam Passing Score - Latest CDP-3002 Demo

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Cloudera CDP Data Engineer - Certification Exam Sample Questions (Q145-Q150):

NEW QUESTION # 145
What is the role of an Operator in an Apache Airflow DAG?
A To schedule DAG runs based on time or external triggers

A. To store metadata and logs for tasks and DAGs
B. To monitor the execution of DAGs and provide notifications
C. To represent a single task or a step within a DAG

Answer: B

Explanation:
In Apache Airflow, an Operator represents a single task or a step within a DAG, defining what actually gets done by a task. Operators are the building blocks of a DAG, specifying the type of work that needs to be done, such as running a Python function, executing a SQL command, or transferring data.

NEW QUESTION # 146
You need to design a DAG that can be easily triggered based on external events or data availability. How can you achieve this functionality?

A. Rely on manual intervention to trigger the DAG whenever necessary.
B. Implement custom code within the DAG to actively check for external events or data availability.
C. Schedule the DAG to run continuously at a fixed interval.
D. Utilize Airflow sensors like FileSensor or S3KeySensor to wait for specific conditions before triggering the DAG.

Answer: D

NEW QUESTION # 147
A team is planning to use PySpark to read data from an Apache Cassandra database. Which of the following options correctly demonstrates how to load data from a Cassandra table named in the keyspace 'sales'?

Answer: A

Explanation:
Option B is correct as it uses the specific format for Cassandra ('org.apache.spark.sql.cassandra') and correctly specifies the keyspace and table options.

NEW QUESTION # 148
What is a potential drawback of improperly configured bucketing in Hive that could negate performance benefits?

A. Mandatory manual intervention for each query execution
B. Increased risk of data loss due to bucket corruption
C. Automatic conversion of bucketed tables to non-bucketed tables
D. Skewed data distribution leading to uneven load across nodes

Answer: D

Explanation:
A potential drawback of improperly configured bucketing in Hive is skewed data distribution, which can lead to an uneven load across nodes. If the bucketing column or the number of buckets is not chosen carefully, it may result in certain buckets being significantly larger than others. This imbalance can negate the performance benefits of bucketing by causing some nodes to do much more work than others, leading to bottlenecks and inefficient resource utilization during data processing tasks.

NEW QUESTION # 149
Your Airflow DAG involves tasks that require access to specific resources like databases or external services. How can you ensure these resources are available and properly configured for the DAG execution?

A. Utilize Airflow connections to store and manage resource details securely.
B. Hardcode connection details (credentials, URLs) directly within the DAG code.
C. Grant everyone access to all resources to avoid potential configuration issues.
D. Implement custom logic within each task to dynamically discover and connect to resources.

Answer: A

Explanation:
While option A might seem straightforward, it can become difficult to manage and maintain for complex workflows. Option B emphasizes effective DAG design principles:Modularization: Breaking down the workflow into smaller, reusable tasks improves clarity, maintainability, and testing. Dependencies: Defining clear dependencies between tasks ensures they execute in the correct order.

NEW QUESTION # 150
......

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To use tabbed browsing on an iPhone, launch the Safari CDP-3002 web browser and surf to any website, Then you migrate an existing application to use the Java Module System.

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CDP-3002 EXAM PASSING SCORE - LATEST CDP-3002 DEMO

CDP-3002 Exam Passing Score - Latest CDP-3002 Demo