MCQs

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Overall MCQs for Reference

Which Spark component provides scalable machine learning algorithms?
a. Spark SQL
b. Spark Streaming
c. MLlib
d. GraphX
Answer: c. MLlibfreshersnow+1
In Spark, what does DAG stand for?
a. Directed Acyclic Graph
b. Directed Analysis Graph
c. Data Analytics Graph
d. Data Access Graph
Answer: a. Directed Acyclic Graphdata-flair+1
Which API is used for building machine learning pipelines in Spark?
a. Spark Streaming
b. Spark GraphX
c. Spark ML
d. Spark Core
Answer: c. Spark MLfreshersnow
Spark MLlib enables which type of processing for large data sets?
a. In-memory parallel processing
b. Disk-based sequential processing
c. Cloud-only processing
d. Single-node processing
Answer: a. In-memory parallel processinggtu-mcq+1
Which of the following is a supervised learning algorithm in Spark ML?
a. K-means clustering
b. Logistic regression
c. Principal component analysis
d. Apriori
Answer: b. Logistic regressionjavaguides+1
Spark MLlib can be used for which of the following tasks?
a. Classification
b. Regression
c. Clustering
d. All of the above
Answer: d. All of the abovejavaguides+1
What type of data structure does Spark use for distributed processing?
a. DataFrame
b. Matrix
c. RDD
d. ArrayList
Answer: c. RDDfreshersnow+1
Which component would you use for real-time data analytics in Spark?
a. Spark Streaming
b. Spark SQL
c. Spark GraphX
d. Spark MLlib
Answer: a. Spark Streamingscribd+1
In Spark, DataFrames are conceptually like _____ in RDBMS.
a. Indices
b. Tables
c. records
d. Views
Answer: b. Tablesjavaguides
Which one is NOT a feature of Spark Analytics?
a. Fault Tolerance
b. In-memory Computation
c. Stream-based Processing
d. Single-threaded Execution
Answer: d. Single-threaded Executionincludehelp+1
Which algorithm does Spark MLlib provide for clustering?
a. SVM
b. Random Forest
c. K-means
d. Linear Regression
Answer: c. K-meansfreshersnow+1
With which language can you use Spark’s MLlib?
a. Scala
b. Python
c. Java
d. All of the above
Answer: d. All of the aboveincludehelp+1
Which Spark API supports SQL-like queries for analytics?
a. Spark Core
b. Spark GraphX
c. Spark SQL
d. Spark Streaming
Answer: c. Spark SQLscribd+1
What is a key benefit of using Spark MLlib?
a. Limited dataset support
b. Batch-only processing
c. Ability to scale to large datasets
d. Requires local disk storage
Answer: c. Ability to scale to large datasetsincludehelp+1
Which Spark module is designed for graph analytics?
a. GraphY
b. MLlib
c. GraphX
d. Spark SQL
Answer: c. GraphXjavaguides+1
Which file format is natively supported in Spark for efficient analytics?
a. DOCX
b. JSON
c. XLSX
d. TXT
Answer: b. JSONfreshersnow+1
What function does Spark SQL provide for analytical queries?
a. Data transformation
b. Graph processing
c. Stream processing
d. Real-time clustering
Answer: a. Data transformationscribd+1
What is the purpose of the fit() method in Spark ML pipelines?
a. Prepare data for streaming
b. Train a model on data
c. Visualize data
d. Store data in HDFS
Answer: b. Train a model on dataincludehelp+1
Which Spark algorithm is commonly used for binary classification?
a. Linear Regression
b. Logistic Regression
c. K-means
d. PCA
Answer: b. Logistic Regressionpriyadogra+1
Which Spark MLlib method saves a trained model to storage?
a. train()
b. save()
c. fit()
d. persist()
Answer: b. save()freshersnow
Which operation in Spark creates a new DataFrame by applying a function to each row?
a. reduce
b. groupBy
c. map
d. join
Answer: c. mapjavaguides+1
What is the primary abstraction for machine learning data in Spark?
a. LabeledPoint
b. RowMatrix
c. GroupedData
d. DataView
Answer: a. LabeledPointpriyadogra+1
Which method in Spark MLlib evaluates model accuracy?
a. fit()
b. evaluate()
c. run()
d. show()
Answer: b. evaluate()freshersnow
Which Spark library is used for creating interactive analytics dashboards?
a. Spark UI
b. Zeppelin
c. GraphX
d. Spark SQL
Answer: b. Zeppelinincludehelp+1
Which Spark MLlib utility is used for feature extraction?
a. HashingTF
b. StreamIndexer
c. ChartParser
d. GraphSplitter
Answer: a. HashingTFjavaguides+1
Which statistic is typically NOT computed by Spark MLlib’s Regression Evaluator?
a. RMSE
b. Mean Squared Error
c. R-squared
d. ROC-AUC
Answer: d. ROC-AUCpriyadogra+1
Which of the following does not belong in a Spark MLlib pipeline?
a. Transformer
b. Estimator
c. Evaluator
d. Indexer
Answer: d. Indexerfreshersnow
Which of the following can increase the risk of overfitting in a Spark Decision Tree?
a. Small maxDepth
b. Large maxDepth
c. Fewer features
d. Limited iterations
Answer: b. Large maxDepthmachinelearning+1
What does Spark’s transform() method do in machine learning pipelines?
a. Trains the model
b. Applies a trained model to data
c. Validates the data
d. Tunes hyperparameters
Answer: b. Applies a trained model to datapriyadogra+1
In Spark MLlib, what is typically used to handle categorical features?
a. VectorAssembler
b. StringIndexer
c. Normalizer
d. HashingTF
Answer: b. StringIndexerjavaguides+1
Which ensemble algorithm is implemented in Spark for classification?
a. KNN
b. Decision Table
c. Random Forest
d. AdaBoost
Answer: c. Random Forestpriyadogra+1
How does Spark store intermediate computational data for analytics?
a. In-memory
b. Cloud storage
c. Disk-only
d. External files
Answer: a. In-memoryincludehelp+1
For stream analytics, which Spark module supports mini-batch processing?
a. Spark SQL
b. Spark Streaming
c. Spark Core
d. GraphX
Answer: b. Spark Streamingscribd+1
Which tuning technique adjusts hyperparameters for Spark machine learning models?
a. FitTransform
b. CrossValidator
c. DataSplitter
d. DataIndexer
Answer: b. CrossValidatorjavaguides+1
What is the input for Spark MLlib’s classification algorithms?
a. Unlabeled DataFrames
b. Labeled features
c. Data without schema
d. Text files only
Answer: b. Labeled featurespriyadogra+1
Which Spark module supports graph-parallel computation?
a. GraphMaster
b. GraphX
c. GraphSql
d. StreamX
Answer: b. GraphXfreshersnow+1
What is the correct method to load a DataFrame in Spark?
a. loadData()
b. read()
c. getData()
d. import()
Answer: b. read()javaguides+1
Which Spark ML feature allows combining multiple features into a single vector?
a. FeatureAssembler
b. VectorAssembler
c. FeatureIndexer
d. RowAssembler
Answer: b. VectorAssemblerfreshersnow+1
What does MLlib use for fast scheduling in streaming analytics?
a. ClusterNodes
b. Spark Core
c. RDDs only
d. DataFrames only
Answer: b. Spark Corescribd+1
In Spark, which method is used to stop a streaming context?
a. end()
b. close()
c. stop()
d. terminate()
Answer: c. stop()scribd+1
Which of the following is an unsupervised learning algorithm in Spark ML?
a. Logistic Regression
b. Decision Tree
c. K-means
d. Random Forest
Answer: c. K-meansjavaguides+1
Which method is used to perform SQL queries on a DataFrame?
a. selectQuery()
b. querySQL()
c. sql()
d. runSQL()
Answer: c. sql()scribd+1
What does the DataFrame show() method do?
a. Loads new data
b. Displays the DataFrame
c. Saves the model
d. Deletes data
Answer: b. Displays the DataFramefreshersnow+1
Which Spark module is best for ETL operations in machine learning workflows?
a. Spark SQL
b. Zeppelin
c. Spark Streaming
d. GraphX
Answer: a. Spark SQLscribd+1
To persist an RDD in Spark, which method is used?
a. cache()
b. save()
c. transform()
d. query()
Answer: a. cache()javaguides+1
What does the .fit() method return in Spark MLlib?
a. A DataFrame
b. An Evaluator
c. A trained Model
d. A StringIndexer
Answer: c. A trained Modelpriyadogra+1
What Spark component supports advanced analytics over streams and static data?
a. Spark SQL
b. GraphX
c. MLlib
d. Integrated APIs
Answer: d. Integrated APIsscribd+1
What type of operation is “join” in Spark DataFrames?
a. Transformation
b. Action
c. Aggregation
d. Filtering
Answer: a. Transformationfreshersnow+1
Which Spark action is commonly used to count records in RDD or DataFrame?
a. size()
b. count()
c. sum()
d. stats()
Answer: b. count()javaguides+1
What is the main advantage of Spark’s parallel data processing in ML?
a. Sequential execution
b. Increased memory costs
c. Faster computation
d. Limited scalability
Answer: c. Faster computationincludehelp+1

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