MCQs

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Overall MCQs for Reference

Which component does Sqoop use for transferring data between Hadoop and relational databases?
a. MapReduce
b. Spark
c. HDFS
d. Hive
Answer: a. MapReducesqoop.apache
What is Sqoop primarily designed for?
a. Web crawling
b. Data transfer
c. Encryption
d. Visualization
Answer: b. Data transfermachinelearninggeek+1
Which data operation is NOT supported by Sqoop?
a. Import
b. Export
c. Compression
d. Data cleaning
Answer: d. Data cleaningdata-flair+1
Sqoop can import data from which type of database?
a. NoSQL
b. Relational
c. In-memory
d. File-based only
Answer: b. Relationalmachinelearninggeek+1
Which format does Sqoop commonly use when importing data into Hadoop?
a. JSON
b. XML
c. Avro
d. Parquet
Answer: c. Avrotutorialspoint
Sqoop supports direct loading of data into which Hadoop component?
a. Pig
b. Hive
c. Mahout
d. Oozie
Answer: b. Hivegeeksforgeeks+2
Which of the following is a key feature of Sqoop?
a. Full-table load
b. Distributed deep learning
c. GPU acceleration
d. Interactive dashboards
Answer: a. Full-table loadprojectpro+1
What command in Sqoop enables loading only updated or new data records?
a. Full load
b. Incremental load
c. Major load
d. Immediate load
Answer: b. Incremental loadlocusit+2
Sqoop uses which security protocol for data transfer?
a. Kerberos
b. OAuth
c. SSL/TLS
d. SAML
Answer: a. Kerberosgeeksforgeeks+1
Which machine learning platform can utilize data imported via Sqoop for training models?
a. TensorFlow
b. Spark MLlib
c. Scikit-learn
d. All of the above
Answer: d. All of the abovelocusit
In Sqoop, what is the default file system destination for imported data?
a. Hive
b. HBase
c. Hadoop Distributed File System (HDFS)
d. S3
Answer: c. Hadoop Distributed File System (HDFS)techvidvan+1
Which Sqoop feature allows parallel data import/export?
a. Multi-threading
b. MapReduce jobs
c. Asynchronous tasks
d. Batch scheduling
Answer: b. MapReduce jobsdata-flair+2
Sqoop connectors are used for integrating with:
a. Only MySQL
b. All major RDBMS databases
c. Only Oracle
d. Only PostgreSQL
Answer: b. All major RDBMS databasesprojectpro+1
For which process is Sqoop commonly used in ML pipelines?
a. Feature selection
b. Data ingestion
c. Model validation
d. Hyperparameter tuning
Answer: b. Data ingestionlocusit+1
Which command-line option allows specifying the number of mappers in Sqoop?
a. –num-mappers
b. –parallel
c. –threads
d. –mapper-count
Answer: a. –num-mapperssqoop.apache+1
Exporting results of ML models from Hadoop to RDBMS is possible via:
a. Hive export
b. Sqoop export
c. Pig Export
d. Oozie export
Answer: b. Sqoop exportsqoop.apache+1
Which Sqoop operation typically generates schema details stored in Avro files?
a. Import
b. Export
c. Filter
d. Index
Answer: a. Importtutorialspoint
What enables efficient data transfer in Sqoop for big datasets?
a. Sequential transfer
b. Parallel processing
c. Single-threaded jobs
d. Manual replication
Answer: b. Parallel processingdata-flair+2
Which language is primarily used for Sqoop command interface?
a. Python
b. Java
c. Shell (CLI)
d. Scala
Answer: c. Shell (CLI)sqoop.apache
Sqoop integration allows use of Hadoop for:
a. Distributed storage, analytics, ML
b. Only reporting
c. Only visualization
d. Kernel-level programming
Answer: a. Distributed storage, analytics, MLlocusit
What does Sqoop use to split data among mappers?
a. Primary key
b. Foreign key
c. Index
d. Column statistics
Answer: a. Primary keygeeksforgeeks
You can use Sqoop to transfer data for ML tasks such as:
a. Feature engineering
b. Model scoring
c. Only reporting
d. Both a and b
Answer: d. Both a and blocusit
Which file format can you use for compression in Sqoop import jobs?
a. Gzip
b. JPEG
c. PDF
d. PNG
Answer: a. Gzipprojectpro+1
Incremental data loads in Sqoop are useful for:
a. ETL workflows
b. Static database snapshots
c. Model hyperparameter tuning
d. Interactive analysis
Answer: a. ETL workflowsprojectpro+1
Sqoop can apply which operation during data import?
a. SQL filtering
b. Deep learning
c. Image recognition
d. Simulation
Answer: a. SQL filteringlocusit
Sqoop workflows can be automated using:
a. Apache Storm
b. Apache Oozie
c. Apache Kafka
d. Apache Nifi
Answer: b. Apache Oozielocusit
Which process is NOT a typical use case for Sqoop?
a. Data archive for Hadoop
b. Direct ML algorithm creation
c. Data backup
d. Data integration
Answer: b. Direct ML algorithm creationalooba+1
What is the role of field mapping in Sqoop?
a. Transform field names
b. Match DB fields to Hadoop formats
c. Encrypt data
d. Visualize relations
Answer: b. Match DB fields to Hadoop formatslocusit
Which type of machine learning models benefit from using Sqoop for data acquisition?
a. Supervised
b. Unsupervised
c. Reinforcement
d. All of the above
Answer: d. All of the abovetechvidvan+1
How does Sqoop export transformed ML results?
a. Proprietary protocol
b. JDBC or native DB connectors
c. FTP
d. RPC
Answer: b. JDBC or native DB connectorssqoop.apache+1
Which operation CANNOT be performed natively by Sqoop?
a. Import from RDBMS
b. Export to RDBMS
c. Advanced feature selection
d. Data compression
Answer: c. Advanced feature selectionprojectpro+1
Sqoop imports are commonly used in ML to enable:
a. Data cleaning
b. Bulk training data loading
c. Model comparison
d. Database administration
Answer: b. Bulk training data loadingmachinelearninggeek+1
Compression in Sqoop helps with:
a. Reducing storage
b. Model accuracy
c. Reporting speed
d. Visualization
Answer: a. Reducing storagegeeksforgeeks+1
Sqoop supports incremental loading by:
a. Tracking timestamps or keys
b. Hashing data
c. Random sampling
d. Uniform partitioning
Answer: a. Tracking timestamps or keysdata-flair+1
Sqoop can create backups for which type of data?
a. Unstructured video data
b. Structured RDBMS data
c. Real-time streams
d. IoT telemetry
Answer: b. Structured RDBMS dataalooba
In the context of ML, Sqoop enables:
a. Scalable dataset access
b. GPU acceleration
c. Only prediction
d. Data encryption
Answer: a. Scalable dataset accesslocusit
Which action is needed after data import via Sqoop for ML model training?
a. Data cleaning & transformation
b. Direct model deployment
c. Encryption
d. Visualization
Answer: a. Data cleaning & transformationlocusit
A typical Sqoop export process sends data from Hadoop to:
a. Relational databases
b. Web servers
c. NoSQL stores
d. Cloud file buckets
Answer: a. Relational databasessqoop.apache+1
Which scenario best fits Sqoop’s use in ML pipelines?
a. Importing labeled datasets for model training
b. Generating synthetic data
c. Deploying models
d. Building UI dashboards
Answer: a. Importing labeled datasets for model traininglocusit
Sqoop supports which Hadoop ecosystem integration:
a. Hive tables
b. HBase storage
c. Both a and b
d. Neither
Answer: c. Both a and bdata-flair+2
In ML data preparation, Sqoop’s role includes:
a. Transforming and aggregating features
b. Model validation
c. Automatic hyperparameter search
d. Data visualization
Answer: a. Transforming and aggregating featureslocusit
Sqoop can synchronize Hadoop with enterprise databases by:
a. Incremental imports
b. Streaming APIs
c. Random replication
d. Deep learning
Answer: a. Incremental importsdata-flair+1
Sqoop leverages which protocol for most DB connections?
a. JDBC
b. FTP
c. TLS
d. REST
Answer: a. JDBCsqoop.apache
Apache Sqoop’s strength for ML is due to:
a. Efficient parallel transfer
b. Native ML algorithms
c. Visualization
d. Encryption tools
Answer: a. Efficient parallel transferprojectpro+1
Sqoop can transfer which schema objects from RDBMS to Hadoop?
a. Tables and views
b. Triggers only
c. Indices only
d. Only logs
Answer: a. Tables and viewsprojectpro+1
What must be done after importing data with Sqoop for ML model success?
a. Data validation and preprocessing
b. Skip all cleaning
c. Direct export
d. Real-time scoring
Answer: a. Data validation and preprocessinglocusit
Which workflow does NOT typically involve Sqoop in ML projects?
a. Automated ETL
b. Data ingestion
c. Model validation
d. Dataset aggregation
Answer: c. Model validationlocusit
After ML predictions in Hadoop, Sqoop can:
a. Export results to relational DBs
b. Visualize predictions
c. Encrypt results
d. Tune models
Answer: a. Export results to relational DBslocusit
Which tool is optimal for scheduled Sqoop jobs in ML data flows?
a. Apache Oozie
b. Apache Pig
c. Apache ZooKeeper
d. Apache Spark
Answer: a. Apache Oozielocusit
What is a major advantage of using Sqoop in ML-enabled data science?
a. Seamless bi-directional data movement
b. Model hyperparameter tuning
c. Data visualization
d. Network security management
Answer: a. Seamless bi-directional data movementgeeksforgeeks+2

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