Do you Want to Prepare Your Certified Administrator for Apache Hadoop CCA-500 Exam??

Number of Questions : 8–12 performance-based (hands- on) tasks on pre-configured Cloudera Enterprise cluster. Time Limit : 120 minutes Passing Score : 70% Language : English Price : USD $295 About Our Dumps……!

Each CCA question requires you to solve a particular scenario. Some of the tasks require making configuration and service changes via Cloudera Manager, while others demand knowledge of command line Hadoop utilities and basic competence with the Linux environment. Evaluation, Score Reporting, and Certificate Your exam is graded immediately upon submission and you are ed a score report the same day as your exam. Your score report displays the problem number for each problem you attempted and a grade on that problem. If you fail a problem, the score report includes the criteria you failed (e.g., “Records contain incorrect data” or “Incorrect file format”). We do not report more information in order to protect the exam content. If you pass the exam, you receive a second within a few days of your exam with your digital certificate as a PDF, your license number, a Linkedin profile update, and a link to download your CCA logos for use in your personal business collateral and social media profiles. Audience and Prerequisites There are no prerequisites for taking any Cloudera certification exam; however, a background in system administration, or equivalent training is strongly recommended. The CCA Administrator exam (CCA131) follows the same objectives as Cloudera Administrator Training an d the training course is an excellent part of preparation for the exam.

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Your cluster's mapred-start.xml includes the following parameters mapreduce.map.memory.mb 4096 mapreduce.reduce.memory.mb 8192 And any cluster's yarn- site.xml includes the following parameters yarn.nodemanager.vmen-pmen-ration 2.1 What is the maximum amount of virtual memory allocated for each map task before YARN will kill its Contain? A. 4 GB B GB C. 8.9 GB D. 8.2 GB E GB Correct Answer: D

Assuming you're not running HDFS Federation, what is the maximum number of NameNode daemons you shoul d run on your cluster in order to avoid a "split-brain" scenario with your NameNode when running HDFS High Av ailability (HA) using Quorum-based storage? A. Two active NameNodes and two Standby NameNodes B. One active NameNode and one Standby NameNode C. Two active NameNodes and on Standby NameNode D. Unlimited. HDFS High Availability (HA) is designed to overcome limitations on the number of NameNodes you c an deploy Correct Answer: B

Table schemas in Hive are: A. Stored as metadata on the NameNode B. Stored along with the data in HDFS C. Stored in the Metadata D. Stored in ZooKeeper Correct Answer: B

You have a cluster running with the fair Scheduler enabled. There are currently no jobs running on the cluster, and you submit a job A, so that only job A is running on the cluster. A while later, you submit Job B. now Job A and Job B are running on the cluster at the same time. How will the Fair Scheduler handle these two jobs? (Choose two) A. When Job B gets submitted, it will get assigned tasks, while job A continues to run with fewer tasks. B. When Job B gets submitted, Job A has to finish first, before job B can gets scheduled. C. When Job A gets submitted, it doesn't consumes all the task slots. D. When Job A gets submitted, it consumes all the task slots. Correct Answer: B

You want to node to only swap Hadoop daemon data from RAM to disk when a bsolutely necessary. What should you do? A. Delete the /dev/vmswap file on the node B. Delete the /etc/swap file on the node C. Set the ram.swap parameter to 0 in core-site.xml D. Set vm.swapfile file on the node E. Delete the /swapfile file on the node Correct Answer: D