IBM Big Data Fundamentals Technical Mastery Test v1

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IBM Big Data Fundamentals Technical Mastery Test v1

How do enterprises leverage big data platforms?

By storing all of the data in its native business object format, so the enterprise can get value out of it through massive parallelism using readily available components. ✘ By modifying the data being streamed using pre-existing ETL transformations, and storing the finalformatted data into a data warehouse for further enterprise analysis. ✘ By sitting on top of a large data warehouse solution acting as transparent abstract conversion layerallowing enterprises to query unstructured data. ✘ By isolating workloads into a single node, and further processing all the data in sequence. ✔

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Answer & Solution

Answer: Option B

Solution:

It provides fallback for IE8.

What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?

Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files. ✘ Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce isconfigurable to operate optimized on large or small files or splits. ✘ Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s AdaptiveMapReduce is optimized for operating on large files stored in individual blocks. ✘ Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBasecomponent, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files. ✔

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Answer: Option B

Solution:

It provides fallback for IE8.

How is data stored in a Hadoop cluster?

The data is divided into blocks, and copies of these blocks are replicated across multiple servers in the Hadoop cluster. ✘ The data converted into a single block, and the block is stored in just one of the servers in the Hadoopcluster. ✘ The data is divided into blocks, each block is stored in a different server in the Hadoop cluster, but theblocks are not replicated. ✘ The data is converted into a single block, and copies of this block are replicated across multiple serversin the Hadoop cluster. ✔

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Answer & Solution

Answer: Option B

Solution:

It provides fallback for IE8.

What is good fit for Hadoop Distributed File System (HDFS)?

Lots of small files. ✘ Applications requiring low latency data access. ✘ Multiple writers accessing the same file. ✘ Applications requiring high throughput of data. ✔

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Answer & Solution

Answer: Option B

Solution:

It provides fallback for IE8.

What does ?Big Data? represent?

A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner. ✘ Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored,processed or analyzed using traditional relational data warehouses. ✘ A database feature capable of converting pre-existing structured data into unstructured raw data. ✘ Only data stored in the BIGDATA table in any relational database. ✔

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Answer & Solution

Answer: Option B

Solution:

It provides fallback for IE8.

Which of the following options is CORRECT?

InfoSphere BigInsights is based on a branched Hadoop distribution, and therefore backwards compatibility is not guaranteed. ✘ InfoSphere BigInsights is a distributed file system used as base for Hadoop distributions. ✘ InfoSphere BigInsights is based on the nonforked core Hadoop distribution, but backwards compatibilitywith the Apache Hadoop project is not guaranteed, therefore applications written for Hadoop might not run on BigInsights. ✘ InfoSphere BigInsights is based on the nonforked core Hadoop distribution, and backwardscompatibility with the Apache Hadoop project will always be maintained. Therefore, all applications written for Hadoop will run on BigInsights. ✔

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Answer & Solution

Answer: Option B

Solution:

It provides fallback for IE8.

What is HADOOP?

Hadoop is a single-node file system used as a base for storing traditional formatted data. ✘ Hadoop is a framework that allows for the distributed processing of large data sets across clusters ofcomputers using a simple programming model. ✘ Hadoop is a universal Big Data programming language used to query large datasets. ✘ Hadoop is framework capable of transforming raw, unstructured data into plain, regular data readableby traditional data warehouses. ✔

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Answer: Option B

Solution:

It provides fallback for IE8.

Hadoop environments are optimized for:

Processing transactions (random access). ✘ Low latency data access. ✘ Batch processing on large files. ✘ Intensive calculation with little data. ✔

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Answer & Solution

Answer: Option B

Solution:

It provides fallback for IE8.

Which of the following options is CORRECT?

InfoSphere Streams optimizes its workload by aggregating an entire job into a single node. ✘ InfoSphere Streams is only able to process traditional structured data from a variety of sources. ✘ InfoSphere Streams does not allow you to dynamically add hosts and jobs ✘ InfoSphere Streams high availability feature allows for processing elements (PEs) on failing nodes to bemoved and automatically restarted, with communications re-routed, to a healthy node. ✔

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Answer & Solution

Answer: Option B

Solution:

It provides fallback for IE8.

10.

In a traditional Hadoop stack, which of the following components provides data warehouse infrastructure and allows SQL developers and business analysts to leverage their existing SQL skills?

Avro. ✘ Hive. ✘ Zookeeper. ✘ Text analytics. ✔

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Answer: Option B

Solution:

It provides fallback for IE8.

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