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Cloudera CCA-500 : Cloudera Certified Administrator for Apache Hadoop (CCAH) Exam

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Test Number : CCA-500
Test Name : Cloudera Certified Administrator for Apache Hadoop (CCAH)
Vendor Name : Cloudera
Update : Click Here to Check Latest Update
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Exam Title : Cloudera Certified Administrator for Apache Hadoop
Exam ID : CCA-500
Number of Questions: 60 questions
Time Limit: 90 minutes
Passing Score: 70%
Language: English, Japanese

1. HDFS (17%)
Describe the function of HDFS daemons
Describe the normal operation of an Apache Hadoop cluster, both in data storage and in data processing
Identify current features of computing systems that motivate a system like Apache Hadoop
Classify major goals of HDFS Design
Given a scenario, identify appropriate use case for HDFS Federation
Identify components and daemon of an HDFS HA-Quorum cluster
Analyze the role of HDFS security (Kerberos)
Determine the best data serialization choice for a given scenario
Describe file read and write paths
Identify the commands to manipulate files in the Hadoop File System Shell
2. YARN (17%)
Understand how to deploy core ecosystem components, including Spark, Impala, and Hive
Understand how to deploy MapReduce v2 (MRv2 / YARN), including all YARN daemons
Understand basic design strategy for YARN and Hadoop
Determine how YARN handles resource allocations
Identify the workflow of job running on YARN
Determine which files you must change and how in order to migrate a cluster from MapReduce version 1 (MRv1) to MapReduce version 2 (MRv2) running on YARN
3. Hadoop Cluster Planning (16%)
Principal points to consider in choosing the hardware and operating systems to host an Apache Hadoop cluster
Analyze the choices in selecting an OS
Understand kernel tuning and disk swapping
Given a scenario and workload pattern, identify a hardware configuration appropriate to the scenario
Given a scenario, determine the ecosystem components your cluster needs to run in order to fulfill the SLA
Cluster sizing: given a scenario and frequency of execution, identify the specifics for the workload, including CPU, memory, storage, disk I/O
Disk Sizing and Configuration, including JBOD versus RAID, SANs, virtualization, and disk sizing requirements in a cluster
Network Topologies: understand network usage in Hadoop (for both HDFS and MapReduce) and propose or identify key network
design components for a given scenario
4. Hadoop Cluster Installation and Administration (25%)
Given a scenario, identify how the cluster will handle disk and machine failures
Analyze a logging configuration and logging configuration file format
Understand the basics of Hadoop metrics and cluster health monitoring
Identify the function and purpose of available tools for cluster monitoring
Be able to install all the ecoystme components in CDH 5, including (but not limited to): Impala, Flume, Oozie, Hue, Cloudera Manager, Sqoop, Hive, and Pig
Identify the function and purpose of available tools for managing the Apache Hadoop file system
5. Resource Management (10%)
Understand the overall design goals of each of Hadoop schedulers
Given a scenario, determine how the FIFO Scheduler allocates cluster resources
Given a scenario, determine how the Fair Scheduler allocates cluster resources under YARN
Given a scenario, determine how the Capacity Scheduler allocates cluster resources
6. Monitoring and Logging (15%)
Understand the functions and features of Hadoops metric collection abilities
Analyze the NameNode and JobTracker Web UIs
Understand how to monitor cluster daemons
Identify and monitor CPU usage on master nodes
Describe how to monitor swap and memory allocation on all nodes
Identify how to view and manage Hadoops log files
Interpret a log file



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Cloudera Hadoop information source

Hadoop-as-a-carrier Market to Witness huge increase through Cloudera, Twitter, Yahoo | CCA-500 Dumps and test dumps

Edison, NJ -- (SBWIRE) -- 02/18/2021 -- stay up to date and exploit latest traits of Hadoop-as-a-carrier Market with latest version released with the aid of AMA.Hadoop-as-a-provider Market finished examine is an expert and precise to backside investigation on the momentum situation of the global Hadoop-as-a-provider industry with an attention on the world market. The record offers key insights obtainable popularity of the Hadoop-as-a-provider producers and is a crucial wellspring of direction and direction for groups and individuals all in favour of the business. via and large, the document gives an internal and out realizing of 2020-2025 international Hadoop-as-a-service Market covering extremely significant parameters.

Key avid gamers during this record include,Amazon internet features (u.s.), Cloudera (united states), Hortonworks (u.s.), MapR Tech (u.s.), IBM (united states), Microsoft (u.s.), Dell/EMC/Pivotal (u.s.), Altiscale (SAP SE) (Germany), Twitter (u.s.) and Yahoo (u.s.)

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quick summary of Hadoop-as-a-service:Hadoop refers to an open source application which retailers the data and operating software on cluster of commodity hardware by means of processing framework. Hadoop is also a allotted processing expertise used for huge data evaluation. big records evaluation is the process used to determine big data so as to find a lot of hidden sample, unknown correlations, market traits, consumer preferences and other assistance so they can aid the organization to take various determination. Hadoop enables to shop these sort of facts, significant processing vigor and has the skill to handle it just about. Hadoop can keep unstructured records equivalent to textual content, graphs, photographs, audio, movies and operating purposes.

Market Drivers- potent raise in Adoption of big data purposes- Open-supply Framework allows Storing & Processing of large statistics

Market vogue- becoming demand from SMEs- shedding costs of Cloud capabilities and Infrastructures

Restraints- statistics privacy- Lack of recognition amongst the Hadoop buyers

The world Hadoop-as-a-service Market segments and Market statistics wreck Down are illuminated below:by type (Run It your self (RIY), Pure Play (PP)), software (Manufacturing industry, BFSI, Retail business, Telecommunications trade, Healthcare trade, govt Sector, Media & entertainment, alternate & Transportation, IT & ITES, Others), end consumer (Manufacturing trade, BFSI, Retail trade, Telecommunications industry , Healthcare industry, executive Sector, Media & leisure , change & Transportation, IT & ITES, Others)

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areas covered within the Hadoop-as-a-service Market:- The core East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, and many others.)- North america (united states, Mexico & Canada)- South the usa (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, and so on.)- Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, and so forth.)- Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

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sights of the Hadoop-as-a-provider Market record:- The report provides granular degree counsel in regards to the market measurement, regional market share, historical market (2014-2018) and forecast (2019-2025)- The file covers in-element insights concerning the competitor's overview, business share analysis, key market developments, and their key options- The file outlines drivers, restraints, unmet needs, and traits that are at the moment affecting the market- The document tracks fresh innovations, key developments and begin-up's particulars which are actively working available in the market- The file provides plethora of counsel about market entry innovations, regulatory framework and reimbursement scenario

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Key features coated in the table of content:Chapter 1 to clarify Introduction, market review, market chance and opportunities, market riding force, product scope of Hadoop-as-a-service Market;Chapter 2 to check out the main manufacturers (charge structure, raw cloth) with income analysis, salary analysis, and value evaluation of Hadoop-as-a-provider Market;Chapter 3 to demonstrate the focused circumstance among the premier producers, with offers, revenue, and Hadoop-as-a-carrier market share 2020;Chapter 4 to screen the regional evaluation of global Hadoop-as-a-service Market with salary and sales of an industry, from 2020 to 2022;Chapter 5, 6, 7 to research the important thing nations (u.s., China, Europe, Japan, Korea & Taiwan), with revenue, earnings and market share in key regions;Chapter 8 and 9 to show overseas and Regional advertising and marketing class evaluation, supply Chain analysis, exchange type analysis;Chapter 10 and 11 to analyze the market through product class and software/end clients (industry revenue, share, and increase rate) from 2020 to 2026Chapter 12 to reveal Hadoop-as-a-carrier Market forecast by areas, forecast by means of classification and forecast through application with earnings and revenue, from 2020 to 2025;Chapter 13, 14 & 15 to specify analysis Findings and Conclusion, Appendix, methodology and facts supply of Hadoop-as-a-provider market consumers, retailers, dealers, revenue channel.

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Hadoop-as-a-service Market analysis gives answers to the following key questions:? what's the expected growth cost of the Hadoop-as-a-provider Market?? What may be the Hadoop-as-a-service Market size for the forecast period, 2020 – 2026?? What are the main driving forces liable for changing the Hadoop-as-a-provider Market trajectory?? who are the massive suppliers that dominate the Hadoop-as-a-carrier Market across different areas? which might be their wins to dwell forward within the competitors?? What are the Hadoop-as-a-service Market tendencies business owners can rely upon within the coming years?? What are the threats and challenges anticipated to avert the development of the Hadoop-as-a-carrier Market across distinct nations?

Contact US:Craig Francis (PR & marketing supervisor)AMA research & Media LLPUnit No. 429, Parsonage highway Edison, NJNew Jersey usa – 08837Phone: +1 (206) 317 1218sales@advancemarketanalytics.com


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