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2021 Aug CCD-410 practice test
Q1. Table metadata in Hive is:
A. Stored as metadata on the NameNode.
B. Stored along with the data in HDFS.
C. Stored in the Metastore.
D. Stored in ZooKeeper.
Answer: C
Q2. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?
A. When the types of the reduce operation’s input key and input value match the types of the reducer’s output key and output value and when the reduce operation is both communicative and associative.
B. When the signature of the reduce method matches the signature of the combine method.
C. Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
D. Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
E. Never. Combiners and reducers must be implemented separately because they serve different purposes.
Answer: A
Q3. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?
A. You will not be able to compress the intermediate data.
B. You will longer be able to take advantage of a Combiner.
C. By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
D. There are no concerns with this approach. It is always advisable to use multiple reduces.
Answer: C
Q4. Determine which best describes when the reduce method is first called in a MapReduce job?
A. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.
B. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.
C. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.
D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.
Answer: A
Q5. Analyze each scenario below and indentify which best describes the behavior of the default partitioner?
A. The default partitioner assigns key-values pairs to reduces based on an internal random number generator.
B. The default partitioner implements a round-robin strategy, shuffling the key-value pairs to each reducer in turn. This ensures an event partition of the key space.
C. The default partitioner computes the hash of the key. Hash values between specific ranges are associated with different buckets, and each bucket is assigned to a specific reducer.
D. The default partitioner computes the hash of the key and divides that valule modulo the number of reducers. The result determines the reducer assigned to process the key-value pair.
E. The default partitioner computes the hash of the value and takes the mod of that value with the number of reducers. The result determines the reducer assigned to process the key-value pair.
Answer: D
Replace CCD-410 study guide:
Q6. MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate daemons? Select two.
A. Heath states checks (heartbeats)
B. Resource management
C. Job scheduling/monitoring
D. Job coordination between the ResourceManager and NodeManager
E. Launching tasks
F. Managing file system metadata
G. MapReduce metric reporting
H. Managing tasks
Answer: BC
Q7. Which best describes what the map method accepts and emits?
A. It accepts a single key-value pair as input and emits a single key and list of corresponding values as output.
B. It accepts a single key-value pairs as input and can emit only one key-value pair as output.
C. It accepts a list key-value pairs as input and can emit only one key-value pair as output.
D. It accepts a single key-value pairs as input and can emit any number of key-value pair as output, including zero.
Answer: D
Q8. You have the following key-value pairs as output from your Map task:
(the, 1)
(fox, 1)
(faster, 1)
(than, 1)
(the, 1)
(dog, 1)
How many keys will be passed to the Reducer’s reduce method?
A. Six
B. Five
C. Four
D. Two
E. One
F. Three
Answer: B
Q9. Your cluster’s HDFS block size in 64MB. You have directory containing 100 plain text files, each of which is 100MB in size. The InputFormat for your job is TextInputFormat. Determine how many Mappers will run?
A. 64
B. 100
C. 200
D. 640
Answer: C
Q10. Which best describes how TextInputFormat processes input files and line breaks?
A. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the beginning of the broken line.
B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of both splits containing the broken line.
C. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete lines.
D. Input file splits may cross line breaks. A line that crosses file splits is ignored.
E. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line.
Answer: E