D-DS-OP-23 Dell Data Engineering Optimize Exam Online Dumps

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To pass the D-DS-OP-23 Dell Data Engineering Optimize exam easily, the online D-DS-OP-23 exam dumps are valuable in your preparation. D-DS-OP-23 exam contains 60 questions, and you have 90 minutes to answer all the questions. The required passing score for the D-DS-OP-23 exam is 63%. Our online D-DS-OP-23 Dell Data Engineering Optimize exam dumps can help you study all the related topics. Free Dell Data Engineering Optimize D-DS-OP-23 exam online dumps are available below.

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1. Which of the following describes Apache Flink?

A distributed file storage system

A graph processing framework

A stream processing framework

A batch processing engine

2. Which of the following are characteristics of the Hadoop ecosystem? (Select all that apply)

Real-time processing

Batch processing

Low fault tolerance

Scalability

Single-node architecture

3. 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

4. Which Python library formats data into dataframes?

NLTK

NumPy

Pandas

scikit-learn

5. Which of the following are components of the Apache Spark Streaming architecture? (Select all that apply)

Driver node

Worker node

Discretized streams (DStreams)

Kafka topics

HDFS storage

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

Bitwise

Assignment

Arithmetic

Logical

7. What type of expertise is required to be an effective data engineer?

Big Data tools

Business analysis

Project management

Accounting

8. 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)

Apache Hadoop

Apache Spark

Talend

Microsoft SSIS

Amazon Redshift

9. What skill is essential for a data engineer to efficiently transform and clean raw data into usable formats?

Data visualization

Machine learning

Data warehousing

ETL (Extract, Transform, Load) processes

10. Match each Apache Storm component with its description.

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11. 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

12. Which Cassandra data type represents a collection of key-value pairs, and is represented in curly brackets ({, }) and colon (:)?

List

Map

Set

UUID

13. What is the primary purpose of Apache Kafka in a data processing architecture?

Storing historical data

Running machine learning algorithms

Processing real-time data streams

Running complex SQL queries

14. What enables Pravega to rapidly ingest streaming data into durable storage?

Apache Spark

Append-only logs

Relational database schema

MongoDB

15. 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

16. Why is it important to control the capabilities of a workload during runtime in Kubernetes?

Limit resource usage on a cluster

Apply API authorization on a cluster

Enable management of application secrets

Support data exfiltration from a pod

17. How is replication implemented in Redis?

Client-server communication protocol is used, whereby every client replicates data from the server

Data is shared among many computers to enable fault tolerance and data accessibility

Meta information is generated based on the client-server communication protocol

The developer copies and pastes the data in multiple databases

18. 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.

19. What is the data governance role that leverages the data for business purposes, such as increasing sales or reducing manufacturing costs?

Data steward

Data custodian

Security specialist

End user

20. What is a characteristic of Pig?

Performs real-time reads and writes in HDFS

Uses HiveQL to translate SQL queries into MapReduce jobs

Data warehouse infrastructure that manages jobs in the cluster

Alternative language to Java programming for MapReduce

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

Data minimization

Purpose limitation

Transparency

Accountability

22. 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

23. Which IoT data processing tool uses a storage abstraction called Stream for continuous and unbounded data?

Apache NiFi

Apache Storm

Pravega

EdgeX Foundry

24. 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

25. An organization has decided to structure their governance model to allow either a single individual or a team to control and maintain the master data.

Which governance model is being implemented?

Distributed

Centralized

Federated

Hybrid

26. Which of the following are components of the Apache Spark architecture? (Select all that apply)

Spark Core

Spark SQL

Spark HBase

Spark Streaming

Spark Cassandra

27. What are three programming languages supported by Apache Spark?

Python, R, and Scala

PL/SQL, R, and Scala

Python, R, and C++

Python, C, and Scala

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

MongoDB

HDFS

Amazon S3

Cassandra

29. Which of the following are components of the ETL process? (Select all that apply)

Extraction

Transmission

Transformation Visualization

30. Which tool builds batch processing as a special case of stream data processing?

Apache Hive

Apache Flink

Apache Spark

Apache Oozie

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31. What is the purpose of memory management in Apache Flink?

Convert all of the data into Java objects

Control how much memory the runtime operations use

Eliminate the need for serialization of the data

Ensure no disk space is ever required

32. Match each data type with its corresponding Redis data structure.

D-DS-OP-23 Dell Data Engineering Optimize Exam Online Dumps

D-DS-OP-23 Dell Data Engineering Optimize Exam Online Dumps

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