1192 お客様のコメント
質問 1：
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?
A. Zookeeper.
B. Hive.
C. Avro.
D. Text analytics.
正解：B
質問 2：
Which of the following options are CORRECT (Choose two)?
A. InfoSphere Streams perform complex analytics on data at rest.
B. The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.
C. Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
D. Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
正解：B,D
質問 3：
How do big data solutions interact with the existing enterprise infrastructure?
A. Big data solutions works in parallel with the existing enterprise infrastructure leveraging all the unstructured raw data that cannot be processed and stored in a traditional data warehouse solutions.
B. Big data solutions must substitute for the existing enterprise infrastructure; therefore there is no interaction between them.
C. Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.
D. Big data solutions are placed on top of the existing enterprise infrastructure, acting as a transparent layer converting unstructured raw data into structured, readable data, and storing the final results in a traditional data warehouse.
正解：A
質問 4：
Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?
A. MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
B. MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
C. MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
D. MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
正解：D
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?
A. Zookeeper.
B. Hive.
C. Avro.
D. Text analytics.
正解：B
質問 2：
Which of the following options are CORRECT (Choose two)?
A. InfoSphere Streams perform complex analytics on data at rest.
B. The Stream Processing Language provides a language that works with the Streams run-time framework to support streaming applications.
C. Users can develop Streams applications using Data Studio Web Console, an Eclipse-based Integrated Development Environment (IDE).
D. Users can deploy existing data mining scoring models in Streams applications for real time insights as opposed to running those models on persistent, or stored data.
正解：B,D
質問 3：
How do big data solutions interact with the existing enterprise infrastructure?
A. Big data solutions works in parallel with the existing enterprise infrastructure leveraging all the unstructured raw data that cannot be processed and stored in a traditional data warehouse solutions.
B. Big data solutions must substitute for the existing enterprise infrastructure; therefore there is no interaction between them.
C. Big data solutions must be isolated into a separate virtualized environment optimized for sequential workloads, so that it doesn?t interact with existing infrastructure.
D. Big data solutions are placed on top of the existing enterprise infrastructure, acting as a transparent layer converting unstructured raw data into structured, readable data, and storing the final results in a traditional data warehouse.
正解：A
質問 4：
Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?
A. MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.
B. MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.
C. MapReduce jobs are used to process structured data in sequence, with fault-tolerance.
D. MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.
正解：D
Wagatsuma -
仕事に忙しいので、私は勉強する時間は少ないです。しかし、P2090-032問題集を利用し、問題の答えを覚えると、P2090-032試験に合格しました。