Advance Your Career by Using Online D-DS-OP-23 Dumps

Obtaining the Dell Data Science D-DS-OP-23 certification can help you demonstrate your expertise in DELL EMC solutions and advance your career in related industry. Using D-DS-OP-23 dumps as part of your study plan can help you identify knowledge gaps, improve your exam-taking skills, provide immediate feedback, and increase your chances of passing the D-DS-OP-23 exam. DELL EMC D-DS-OP-23 exam free dumps questions are available below.

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1. Why is Python commonly used for building data pipelines?

It only supports batch processing

It has no libraries for data manipulation

Its readability and extensive libraries

It requires compilation for execution

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2. In Python, which type of operator is often used in conditional statements to perform Boolean operations?

Bitwise

Assignment

Arithmetic

Logical

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3. Match each Apache Storm component with its description.

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4. What is metadata in the context of data governance?

Data encryption keys

Data quality metrics

Data access logs

Data about data

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5. What is the primary storage system used by the Hadoop ecosystem?

MongoDB

HDFS

Amazon S3

Cassandra

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6. Match each database type with its description.

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7. A company needs to fill an opening for a key tactical data governance position. The new hire is to be a subject matter expert on customer data and ensure the data policies and standards are adhered to on a daily basis. This role bridges the gap between a data governance program and its execution.

What is a suitable job title for this role?

Data miner

Data scientist

Data steward

Data engineer

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8. What ethical principle emphasizes that collected data should be used for its original intended purpose?

Data minimization

Purpose limitation

Transparency

Accountability

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9. In Python, which data type is one dimensional and immutable?

List

Array

Tuple

Set

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10. In a data analytics project, what is the primary responsibility of a data engineer?

Creating data visualizations

Designing machine learning models

Building data pipelines and ETL processes

Conducting statistical analysis

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11. Match each Apache Kafka component with its description.

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12. What is the storage architecture of Pravega?

File-based storage

In-memory storage

Object-based storage

Columnar storage

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13. What is a common use case for a document-based NoSQL database like MongoDB?

Storing structured tabular data

Tracking real-time data streams

Managing hierarchical data

Performing complex SQL queries

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14. You are designing a database for an e-commerce data warehouse. The data is normalized in 1NF format and will be used to create data marts for different departments inside the organization.

Which schema type should be used for this requirement?

Star

Columnar

Highly Normalized

Graph

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15. With Apache Kafka, what is an advantage of implementing the Publish/Subscribe messaging system over Point-to-Point messaging system?

Messages can be dynamically moved between topics to improve the overall throughput of the system

Any message published to a topic is immediately received by all the subscribers to that topic

Messages stored are deduplicated automatically to increase the overall storage capacity of a topic

Any message published to a topic is received only by a few subscribers to that topic

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16. What is the default replication factor for HDFS?

2

3

4

6

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17. In an Apache Spark Streaming environment, what acts as an entry point to the streaming system and provides methods to create and transform DStreams?

Receiver

Spark Core

Streams API

StreamingContext

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18. Match each Atlas feature with its description.

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19. Which Sqoop validation type checks the row counts between the source and target databases, and tries to ensure that the counts match?

ValidationThreshold

Eval

ValidationFailureHandler

Validator

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20. What is a data pipeline best practice related to Extract-Transform-Load (ETL) jobs?

ETL jobs should be flexible to source data changes such as new variables or attributes.

A failed ETL job should always be marked as completed so that any other scheduled jobs can execute.

ETL jobs should be manually executed and monitored to ensure the highest quality.

A failed ETL job should be re-run immediately without taking any corrective actions.

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21. Match each major support project of Hadoop with its definition.

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22. Which skill is crucial for a data engineer to effectively manage and optimize large-scale data processing systems?

Data analysis

Front-end development

Cloud computing

Graphic design

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23. What is a primary task of a data engineer during a data analytics project?

Installing, configuring, testing, and maintaining operating systems, application software, and system management tools

Ensuring the successful initiation, planning, design, execution, monitoring, controlling, and closure of the project

Designing and integrating infrastructure, analyzing algorithms, modifying source code, and writing system instructions

Preparing the Big Data environment to be utilized by data scientists and other business stakeholders

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24. Which of the following data structures in Python is immutable?

List

Dictionary

Tuple

Set

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25. What is a difference between Data Governance and Master Data Management (MDM)?

Data governance is an informal system of decision making. MDM is a formal system of decision making.

Data governance implementation involves people, policies, rules, and metrics. MDM is done automatically with no interference.

Data governance focuses mainly on IT practices. MDM creates the rules and decisions for operational data processes.

Data Governance is a formalized system of decision making. MDM is a comprehensive method to link all data elements to a common point of reference.

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26. What is a common approach to handling errors and failures in data pipelines?

Ignoring errors and continuing execution

Relying solely on input data validation

Implementing robust error handling and retries

Allowing errors to propagate to end-users

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27. What is the purpose of sensor operators in Apache Airflow?

Perform validation checks in parallel

Move data sequentially from one system to another

Use triggers to report each successive retry

Use a poke method to monitor external processes

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28. Which of the following are data pipeline best practices? (Select all that apply)

Using a monolithic design for simplicity

Ensuring data quality and validation

Avoiding error handling and monitoring

Using a single tool for all pipeline components

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29. A manufacturing organization intents to minimize production costs by analyzing real-time data after implementing IoT tools.

Which business driver would be affected if the organization follows this strategy?

Operational efficiency

Customer experience

New sources of revenue

Product choices

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30. What is a significant advantage of using a columnar store NoSQL database for analytical workloads?

High-speed transaction processing

Efficient storage of hierarchical data

Optimized query performance on large datasets

Real-time data synchronization

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31. Which Python library provides the foundation for SciPy?

NLTK

NumPy

Pandas

scikit-learn

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32. In Python, which non-primitive data structure can only be a collection of primitive data types?

Array

Dictionary

Tuple

List

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