[Oct 19, 2024] D-DS-OP-23 PDF Questions and Testing Engine With 103 Questions [Q49-Q70]

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[Oct 19, 2024] D-DS-OP-23 PDF Questions and Testing Engine With 103 Questions

Updated Exam Engine for D-DS-OP-23 Exam Free Demo & 365 Day Updates

NEW QUESTION # 49
What is the primary focus of the EdgeX Foundry architecture?

  • A. Edge computing and IoT devices
  • B. Cloud computing
  • C. Big data analytics
  • D. Quantum computing

Answer: A


NEW QUESTION # 50
Which NoSQL database type is most suitable for applications requiring high-speed, low-latency data retrieval based on simple lookups?

  • A. Time-series database
  • B. Key-value store
  • C. Document store
  • D. Column-family store

Answer: B


NEW QUESTION # 51
With Apache Kafka, what is an advantage of implementing the Publish/Subscribe messaging system over Point-to-Point messaging system?

  • A. Any message published to a topic is immediately received by all the subscribers to that topic
  • B. Messages stored are deduplicated automatically to increase the overall storage capacity of a topic
  • C. Messages can be dynamically moved between topics to improve the overall throughput of the system
  • D. Any message published to a topic is received only by a few subscribers to that topic

Answer: A


NEW QUESTION # 52
Why is Python commonly used for building data pipelines?

  • A. It has no libraries for data manipulation
  • B. It only supports batch processing
  • C. It requires compilation for execution
  • D. Its readability and extensive libraries

Answer: D


NEW QUESTION # 53
Which Apache project focuses on managing and governing metadata for Hadoop ecosystems?

  • A. Apache Atlas
  • B. Apache Hive
  • C. Apache Ranger
  • D. Apache HBase

Answer: A


NEW QUESTION # 54
You are designing a genomics analysis application and need to set up an Apache Oozie job to execute a single MapReduce workflow at 12:00 AM EST every day.
Which Oozie job type should you implement?

  • A. JobTracker
  • B. Workflow
  • C. Coordinator
  • D. Bundle

Answer: C


NEW QUESTION # 55
What enables Apache Spark to process data more efficiently than Hadoop's MapReduce?

  • A. Apache Flink is the compute engine
  • B. Intermediate processing data is always written to disk
  • C. JobTracker functionality has been replaced by YARN
  • D. Data is cached in memory whenever possible

Answer: D


NEW QUESTION # 56
An organization plans to establish a data governance process for a data lake.
What is the correct sequence of steps required to implement the process?

  • A. 1. Define the roles and responsibilities of actors within the data governance process
    2. Operationalize the data governance process and assist the deployment team
    3. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment
    4. Understand the current and future states of data governance and identify remaining gaps
  • B. 1. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment
    2. Define the roles and responsibilities of actors within the data governance process
    3. Operationalize the data governance process and assist the deployment team
    4. Understand the current and future states of data governance and identify remaining gaps
  • C. 1. Define the roles and responsibilities of actors within the data governance process
    2. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment
    3. Operationalize the data governance process and assist the deployment team
    4. Understand the current and future states of data governance and identify remaining gaps
  • D. 1. Define the roles and responsibilities of actors within the data governance process
    2. Operationalize the data governance process and assist the deployment team
    3. Understand the current and future states of data governance and identify remaining gaps
    4. Develop the business value statement and a baseline for ongoing measurement of the data governance deployment

Answer: D


NEW QUESTION # 57
What is a challenge of managing data pipelines?

  • A. Making the data volume consistent, or at least easily predictable
  • B. Ensuring that proper backups are available in the event of a data corruption
  • C. Monitoring is simply accomplished by the end users reporting any data quality issues
  • D. Guaranteeing there is no personally identifiable information in the extracted data

Answer: B


NEW QUESTION # 58
In Python, which type of non-linear list always has a common root?

  • A. Queues
  • B. Trees
  • C. Graphs
  • D. Stacks

Answer: B


NEW QUESTION # 59
In Python, which non-primitive data structure can only be a collection of primitive data types?

  • A. Tuple
  • B. Array
  • C. List
  • D. Dictionary

Answer: B


NEW QUESTION # 60
Which encoding standard is used by Python 2 to store strings?

  • A. ASCII
  • B. Unicode
  • C. Binary
  • D. Static

Answer: A


NEW QUESTION # 61
Which of the following are data pipeline best practices? (Select all that apply)

  • A. Avoiding error handling and monitoring
  • B. Using a monolithic design for simplicity
  • C. Ensuring data quality and validation
  • D. Using a single tool for all pipeline components

Answer: C


NEW QUESTION # 62
Which Python library formats data into dataframes?

  • A. NLTK
  • B. Pandas
  • C. NumPy
  • D. scikit-learn

Answer: B


NEW QUESTION # 63
In the ELT process, data is transformed after being loaded into the target system.
Which tools can be used for ELT? (Select all that apply)

  • A. Apache Hadoop
  • B. Talend
  • C. Microsoft SSIS
  • D. Apache Spark
  • E. Amazon Redshift

Answer: B,C,D


NEW QUESTION # 64
What is a characteristic of Pig?

  • A. Performs real-time reads and writes in HDFS
  • B. Alternative language to Java programming for MapReduce
  • C. Data warehouse infrastructure that manages jobs in the cluster
  • D. Uses HiveQL to translate SQL queries into MapReduce jobs

Answer: B


NEW QUESTION # 65
Which component of the Apache Atlas framework allows metadata to be added to the Atlas environment?

  • A. Graph Engine
  • B. Apps
  • C. Ingest/Export
  • D. Metadata Sources

Answer: C


NEW QUESTION # 66
What is the purpose of memory management in Apache Flink?

  • A. Convert all of the data into Java objects
  • B. Control how much memory the runtime operations use
  • C. Ensure no disk space is ever required
  • D. Eliminate the need for serialization of the data

Answer: B


NEW QUESTION # 67
Which of the following are components of the ETL process? (Select all that apply)

  • A. Extraction
  • B. Transmission
  • C. Transformation
  • D. Loading
  • E. Visualization

Answer: A,C,D


NEW QUESTION # 68
What ordered set of terms refers to the process in which data is sourced from a relational database, enriched and merged with other datasets, then stored in a data lake?

  • A. Extract, Load, and Transform
  • B. Isolation, Atomicity, and Consistency
  • C. Extract, Transform, and Load
  • D. Atomicity, Consistency, and Isolation

Answer: C


NEW QUESTION # 69
In a data analytics project, what is the primary responsibility of a data engineer?

  • A. Designing machine learning models
  • B. Building data pipelines and ETL processes
  • C. Conducting statistical analysis
  • D. Creating data visualizations

Answer: B


NEW QUESTION # 70
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