Download Cloudera.CCA-505.PassLeader.2019-08-07.21q.tqb

Vendor:	Cloudera
Exam Code:	CCA-505
Exam Name:	Cloudera Certified Administrator for Apache Hadoop (CCAH) CDH5 Upgrade
Date:	Aug 07, 2019
File Size:	144 KB

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Demo Questions

On a cluster running CDH 5.0 or above, you use the hadoop fs –put command to write a 300MB file into a previously empty directory using an HDFS block of 64MB. Just after this command has finished writing 200MB of this file, what would another use see when they look in the directory?

They will see the file with its original nam
if they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster
They will see the file with a ._COPYING_extension on its nam
If they attempt to view the file, they will get a ConcurrentFileAccessException until the entire file write is completed on the cluster.
They will see the file with a ._COPYING_ extension on its nam
if they view the file, they will see contents of the file up to the last completed block (as each 64MB block is written, that block becomes available)
The directory will appear to be empty until the entire file write is completed on the cluster

Correct answer: C

You want to understand more about how users browse you public website. For example, you want to know which pages they visit prior to placing an order. You have a server farm of 200 web servers hosting your website. Which is the most efficient process to gather these web server logs into your Hadoop cluster for analysis?

Sample the web server logs web servers and copy them into HDFS using curl
Ingest the server web logs into HDFS using Flume
Import all users clicks from your OLTP databases into Hadoop using Sqoop
Write a MApReduce job with the web servers from mappers and the Hadoop cluster nodes reducers
Channel these clickstream into Hadoop using Hadoop Streaming

Correct answer: AB

Assume you have a file named foo.txt in your local directory. You issue the following three commands:

Hadoop fs –mkdir input

Hadoop fs –put foo.txt input/foo.txt

Hadoop fs –put foo.txt input

What happens when you issue that third command?

The write succeeds, overwriting foo.txt in HDFS with no warning
The write silently fails
The file is uploaded and stored as a plain named input
You get an error message telling you that input is not a directory
You get a error message telling you that foo.txt already exist
The file is not written to HDFS
You get an error message telling you that foo.txt already exists, and asking you if you would like to overwrite
You get a warning that foo.txt is being overwritten