MCQs

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Overall MCQs for Reference

Which Spark library is specifically designed for machine learning tasks?
a. TensorFlow
b. Scikit-learn
c. Keras
d. MLlib
Answer: d. MLlibfreshersnow+1
What does Spark MLlib provide?
a. A SQL interface for Spark
b. A library for streaming data
c. Machine learning algorithms and utilities
d. Graph computation tools
Answer: c. Machine learning algorithms and utilitiesedureka+1
Which data structure in Spark is distributed and fault-tolerant?
a. List
b. RDD
c. DataFrame
d. Array
Answer: b. RDDincludehelp+1
What is PySpark?
a. A Spark extension for Java
b. A Python API for Spark
c. A SQL engine
d. A Scala plugin
Answer: b. A Python API for Sparkincludehelp
Which of the following describes DataFrames in Spark?
a. Immutable and distributed
b. Mutable and local
c. Not supported for SQL
d. Only for Scala
Answer: a. Immutable and distributedfreetimelearning
Which Spark module processes graph data?
a. DataFrame
b. MLlib
c. GraphX
d. Spark SQL
Answer: c. GraphXsanfoundry
Which Spark library can handle structured and semi-structured data?
a. Spark Streaming
b. MLlib
c. Spark SQL
d. GraphFrames
Answer: c. Spark SQLfreshersnow+1
Which method in Spark MLlib is used for reducing dimensionality?
a. K-Means
b. PCA
c. Random Forest
d. SVM
Answer: b. PCAedureka
What is the major benefit of using DataFrames over RDDs in Spark for ML?
a. Automatic optimization
b. Only works with small data
c. Only supports text data
d. Deprecated in Spark 3.x
Answer: a. Automatic optimizationfreshersnow+1
What type of learning is K-Means clustering?
a. Supervised
b. Semi-supervised
c. Unsupervised
d. Reinforcement
Answer: c. Unsupervisededureka+1
Which Spark API is best suited for big data transformations?
a. Pandas
b. DataFrame
c. Numpy
d. TensorFlow
Answer: b. DataFramefreetimelearning+1
Which is NOT a feature of Spark MLlib?
a. Classification algorithms
b. Statistical summaries
c. Graph processing
d. Data visualization
Answer: d. Data visualizationjavaguides+1
Which ML algorithm is available in Spark MLlib?
a. Naive Bayes
b. Q-Learning
c. Deep Belief Network
d. CNN
Answer: a. Naive Bayesfreshersnow
What is a Spark “job”?
a. A library in MLlib
b. The process of submitting an application to the cluster
c. A clustering algorithm
d. RDD transformation
Answer: b. The process of submitting an application to the clusterfreetimelearning+1
Which language is NOT natively supported by Spark?
a. Java
b. Python
c. R
d. C++
Answer: d. C++freetimelearning
What does “lazy evaluation” in Spark mean?
a. Immediate execution
b. Deferred execution until action is called
c. Supports only batch jobs
d. Never executes transformations
Answer: b. Deferred execution until action is callededureka+1
What is a basic abstraction for data in Spark?
a. Table
b. Partition
c. RDD
d. Segment
Answer: c. RDDincludehelp+1
In Spark SQL, which data structure holds tabular data like a spreadsheet?
a. RDD
b. DataFrame
c. Dataset
d. Array
Answer: b. DataFrameincludehelp
Which action triggers computation in Spark?
a. Map
b. Filter
c. Action
d. Reduce
Answer: c. Actionfreetimelearning
What does MLlib NOT provide?
a. Regression
b. Feature extraction
c. Deep learning
d. Clustering
Answer: c. Deep learningedureka
What is the goal of Spark’s ALS algorithm?
a. Text similarity
b. Recommendation systems
c. Time series prediction
d. Neural networks
Answer: b. Recommendation systemsedureka
Which Spark component is used for streaming analytics?
a. Spark SQL
b. Spark MLlib
c. Spark Streaming
d. GraphX
Answer: c. Spark Streamingsanfoundry
Which language has the least verbose Spark API?
a. Scala
b. Python
c. Java
d. R
Answer: b. Pythonincludehelp+1
What is the default deployment mode for Spark?
a. Standalone
b. YARN
c. Mesos
d. Kubernetes
Answer: a. Standalonefreetimelearning
Which file format is NOT natively supported by Spark DataFrame?
a. Parquet
b. ORC
c. XML
d. JSON
Answer: c. XMLfreetimelearning
Which API provides strong typing and lambda functions in Spark?
a. DataFrame
b. Dataset
c. RDD
d. SQL
Answer: b. Datasetfreetimelearning
Which learning type does logistic regression in Spark belong to?
a. Supervised
b. Unsupervised
c. Semi-supervised
d. Reinforcement
Answer: a. Supervisedfreshersnow
Which is a parameter for controlling tree split candidates in Decision Tree of MLlib?
a. minBins
b. maxBins
c. splitCount
d. treeLevel
Answer: b. maxBinspriyadogra+1
What is the minimum Spark version supporting DataFrames?
a. 1.0
b. 2.0
c. 1.3
d. 2.3
Answer: c. 1.3freetimelearning
What supports parallel hyperparameter optimization in Spark ML?
a. Grid Search
b. SparkTrials class
c. DataFrame API
d. Linear Regression
Answer: b. SparkTrials classfreedumps.actual4exams
Which metric is NOT commonly used for regression in Spark ML?
a. RMSE
b. MAE
c. Accuracy
d. R-squared
Answer: c. Accuracyfreedumps.actual4exams
Which MLlib method imputes missing values with a median in the presence of outliers?
a. Mode Imputer
b. Mean Imputer
c. Median Imputer
d. KNN Imputer
Answer: c. Median Imputerfreedumps.actual4exams
What is the command to cache a DataFrame in Spark?
a. cacheDF()
b. persist()
c. cache()
d. hold()
Answer: c. cache()includehelp+1
Which is not a transformation in Spark?
a. Map
b. Filter
c. Reduce
d. Union
Answer: c. Reducefreetimelearning
Which supports SQL-like queries in Spark?
a. MLlib
b. DataFrames
c. RDD
d. Streams
Answer: b. DataFramesfreetimelearning
What does “partitions” in Spark refer to?
a. Nodes
b. Logical chunks of data
c. ML models
d. Feature extraction
Answer: b. Logical chunks of datajavaguides
In Spark, which function returns the top N rows?
a. head(n)
b. top(n)
c. fetch(n)
d. limit(n)
Answer: a. head(n)includehelp+1
What is the format of the pipeline in Spark MLlib?
a. Sequence of RDDs
b. Sequence of transformations and estimators
c. DAG of graphs
d. None
Answer: b. Sequence of transformations and estimatorsedureka
Which clustering algorithm is provided by Spark MLlib?
a. DBSCAN
b. Fuzzy C-Means
c. K-Means
d. GMM
Answer: c. K-Meansfreshersnow+1
Which method splits data into training and testing in Spark?
a. partition()
b. divide()
c. randomSplit()
d. cut()
Answer: c. randomSplit()includehelp+1
What is a characteristic of Spark DataFrames?
a. Support for rich schema
b. No support for SQL
c. Cannot handle structured data
d. Only works in Java
Answer: a. Support for rich schemaincludehelp+1
In Spark MLlib, what is the type of the primary API for pipelines?
a. DataFrame-based
b. RDD-based
c. Graph-based
d. List-based
Answer: a. DataFrame-basedjavaguides+1
Which evaluation metrics is used in binary classification?
a. Root Mean Squared Error
b. ROC AUC
c. Sum of Squared Errors
d. Hamming Distance
Answer: b. ROC AUCfreedumps.actual4exams+1
What is the file format that supports schema evolution in Spark?
a. CSV
b. Parquet
c. TXT
d. XLS
Answer: b. Parquetfreetimelearning
What is “feature extraction” in Spark MLlib used for?
a. Improve SQL queries
b. Build derived informative values
c. Compress data
d. Encrypt data
Answer: b. Build derived informative valuesedureka
Which command counts number of rows in a DataFrame?
a. .size()
b. .rows()
c. .count()
d. .numberof()
Answer: c. .count()includehelp+1
What does Spark MLlib’s ALS use for recommendations?
a. Alternating Least Squares
b. Adaptive Label Smoothing
c. Automatic Logistic Scoring
d. Average Least Squares
Answer: a. Alternating Least Squaresedureka
What advantage does Spark MLlib have over other ML libraries?
a. Scalability
b. Only works for images
c. Needs Hadoop
d. No support for parallelism
Answer: a. Scalabilityjavaguides+1
Which Spark ML algorithm is used for classification problems?
a. K-Means
b. Decision Tree
c. PCA
d. ALS
Answer: b. Decision Treefreshersnow+1
What is the output of a Spark MLlib clustering algorithm?
a. Predicted class labels
b. Grouped cluster assignments
c. Regression coefficients
d. Text strings
Answer: b. Grouped cluster assignmentsfreshersnow+1

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