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Huawei HCIP-Big Data Developer V1.0 Sample Questions:

1. Which of the following is correct about the HDFS client's file reading process? (multiple choice)

A) The file data is first returned from the DataNode to the NameNode, and then sent from the NameNode to the client.
B) If the client and the connected DataNode fail during reading, the client will abandon the failed node and connect to the node where the other replica is located.
C) Support multiple clients to read the same file data from the DataNode at the same time.
D) Download data from the nearest DataNode first.

2. Spark Streaming can receive data from Kafka and perform calculations. The calculation results can only be stored in HDFS and cannot be written back to Kafka.

A) True
B) False

3. In HDFS application development, which of the following are the interfaces supported by the HDFS service? (multiple choice)

A) BufferedOutputStream.flush
B) FileSystem.create
C) FileSystem.append
D) BufferedOutputStream.write

4. In the Solr application query scenario, when the query results are paged in depth, the cursor needs to be used to page in depth. Which of the following is correct about the cursor? (multiple choice)

A) The query field must be sorted
B) There will be nextCursorMark in the return result of Solr, use this value as oursorMark in the next call
C) When querying, the start parameter cannot be included in the request
D) The uniqueKey field must be sorted
E) In the first query request, you need to specify the query parameters, the operation method is as follows: solrQuery.set (CursorMarkParams.CURSOR_MARK_PARAM, CursorMarkParams.CURSOR_MARK_START);

5. When the HDFS client writes files with N copies, which of the following is correct about the writing process? (multiple choice)

A) Each DataNode can store at most 1 copy.
B) Support multiple users to write to the same file at the same time.
C) The copied file blocks are all stored on the same rack by default.
D) The first copy of the data block is prioritized on the node where the client writing the data block is located.

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