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

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Exam Number : CCA-500
Exam Name : Cloudera Certified Administrator for Apache Hadoop (CCAH)
Vendor Name : Cloudera
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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 Latest Questions

Cloudera's records Platform private And Public Cloud each GA And it be Time to migrate | CCA-500 Latest Questions and PDF Download

five years in the past, the trade became debating the suggestion of a hybrid cloud and a lot of boards and buyers handiest noticed the value in the public cloud. In 2018, AWS announced Outposts and the debate stopped. With 94% of IT spend and 80% of the information on-prem, the world is very an awful lot hybrid. The simplest thing we’re debating now could be the way to manipulate assorted clouds. Multi-cloud is complicated and requires orchestration of records, safety and networking. Cloudera has emerged as a pacesetter if no longer the leader in hybrid, end-to-conclusion facts administration.

ultimate yr I wrote a piece of writing discussing how Cloudera is helping agencies to control information wherever it may reside. Later I followed up with another article discussing the “360-degree view of facts” exacerbated by the Covid-19 pandemic. Cloudera has regular availability (GA) with Cloudera facts Platform (CDP) for public and personal clouds and has 1,000s of PB of statistics already under management. it's time to understand what makes this platform especially powerful and how Cloudera will build on this momentum sooner or later.

Cloudera data Platform


“true” hybrid and multi-cloud information administration

I even have lengthy maintained that hybrid and multi-cloud are desk stakes to make a contemporary architecture function. these days the controversy is greater about which tier – public or deepest – to location functions and records, the way to burst between the two, and the significance of security and governance.

To obtain a “authentic” hybrid cloud requires integration between the inner most and public clouds that makes it possible for functions and records to flow seamlessly throughout the disparate infrastructures and for the combined environments to be managed and secured holistically. i might argue that many hybrid options today made out of diverse point products from distinctive carriers are not a "authentic" hybrid answer and a excessive-risk proposition. every component can be area to improvements at quite a lot of times in spite of your integration. protection and governance fashions will fluctuate throughout products that put you vulnerable to records loss or security vulnerabilities.

i'm excited concerning the availability of Cloudera's statistics Platform on both inner most and public clouds. probably it become my many comments on the hybrid future! but Cloudera identified early that an enterprise architecture for hybrid and multi-cloud facts was the destination.

Cloudera's statistics Platform is a "authentic" hybrid answer with the equal structure across private and public clouds and the identical safety and governance to steer clear of compliance considerations and to in the reduction of the possibility of security breaches. there's a single pane of glass to control your statistics, even if on-premises or within the three important public clouds; take your prefer; AWS, Azure, and Google.

Cloudera gives you the agility, flexibility you expect from the cloud, and the cost controls you have on-premises as that you would be able to stream your information seamlessly between the clouds. Cloudera has performed a "genuine" hybrid solution for managing statistics.

Addressing the entire lifecycle of records

In 2020, earlier than making CDP frequently purchasable (GA), Cloudera labored with a gaggle of consumers to be mindful how the deepest, public tier method would work and the level of interoperability across multi-cloud. Technical previews also gave consumers adventure with the safety and governance platform Cloudera Shared records experience (SDX).  CDP with SDX provides security and governance for your facts, managed from a single pane of glass even with the place the information resides. protection and governance are a significant a part of the move to hybrid. SDX collects metadata that strikes with the data from on-premises or the general public cloud. there's always an audit path to see who touched the information, the way it has changed, who modified it, components necessary to agree to laws.

Cloudera has relationships with big organizations, many of which were understandably cautious, given the regulatory frameworks and the statistics privacy laws global. but now, Cloudera sees cloud acceleration that has expanded during the pandemic with lots of of petabytes of information beneath management. further and further agencies are in the system of gaining knowledge of which workloads want the excessive efficiency of cloud and merit the rate while other workloads make more feel to run on prem at a different can charge. With freedom of option that a hybrid cloud model brings, workloads can now be tied at once to budgets and the business price of that workload.

CDP private and public functions address the entire lifecycle of records, managing facts from the point of origination, technique it in true-time, reporting, direct moves the usage of desktop researching, and workload placement for premier performance and cost.

The business information cloud, together with a hybrid private cloud, combines the benefit of use of public cloud infrastructure with the performance, safety, and value controls in the information core.

Cloudera offers a few integrated functions on CDP, akin to information warehouse, streaming, records engineering, and desktop discovering analytics.

Let the migrations begin!Now that CDP is accessible, Cloudera's problem now is to get shoppers on the platform as immediately and painlessly as possible to resolve real company problems.

Migration contains mixing enterprise statistics and cloud method to obtain the preferred effect, gold standard defined by a few trade examples.

the primary instance includes manufacturing and linked vehicles. Many use circumstances emerge from analyzing automobile facts, such as the talents to enhance journeys, in the reduction of accidents, and predict provider movements. Analytical fashions in the cloud and even onboard can predict provider movements notifying an upcoming issue and directing the driver to the nearest dealership. warranty analytics have proven to be valuable at determining emerging concerns several months sooner than traditional assurance tactics.

The brand will have facts coming from the automobile that needs to be meshed and analyzed with facts coming out of construction techniques sitting within the manufacturing plant. Cloudera regarded at the records panorama, with facts at the part, plant information, construction data, and renovation information that potentially can make a contribution to the evaluation. fundamental questions such as the quantity of information, sources, places, and how the cost can be optimized form the basis for a reference structure. Workloads not utilized in CDP are disabled, so consumers don't seem to be incurring pointless cloud working expenses.

one other illustration comprises the banking industry. The primary assessment of the trading book (FRTB) is a set of capital rules developed for banks' wholesale trading actions and liquidity. during this illustration, the bank used the CDP public cloud to condo new statistics that required more proactive monitoring and did not healthy the existing information warehouse structure. CDP private cloud housed historic facts. Visibility to the banks' standard liquidity resulted from mixing data from both sources.

options involve figuring out the statistics landscape and deciding no matter if to find within the cloud or on-premises or hybrid after which construct the records structure and cloud structure primarily based upon those requirements. Cloudera will assist with the analysis with equipment in keeping with repeatable fashions that help optimize cloud and upfront fees.

Wrapping up

At this aspect, i would say that Cloudera has emerged as a pacesetter if now not the chief in hybrid multi-cloud information analytics. in case you are looking to control statistics end-to-end, from the side, on-premises, and varied public clouds, your alternative nowadays is Cloudera that already has 1,000s of PBs under administration.

With Cloudera's facts Platform private and public cloud both commonly obtainable, the brand new focus is customer enterprise problems, in the end leading to new product innovation within the sort of extra cloud-native capabilities provided on the CDP platform. New integrated workloads ordinary throughout the customer base will outcome in a quicker time to price.

To assist clients in migrating workloads to CDP, Cloudera makes use of a library of repeatable reference architectures expanding over time. general patterns emerge from the bespoke work Cloudera performs for particular person customers.

I seem to be forward to writing the subsequent chapter as valued clientele remedy true business complications on this platform across the hybrid cloud.

observe: Moor Insights & method writers and editors may additionally have contributed to this article. 

Moor Insights & method, like all analysis and analyst enterprises, offers or has offered paid analysis, evaluation, advising, or consulting to many high-tech groups within the trade, together with 8x8, superior Micro gadgets, Amazon, utilized Micro, ARM, Aruba Networks, AT&T, AWS, A-10 innovations, Bitfusion, Blaize, field, Broadcom, Calix, Cisco programs, Clear software, Cloudera, Clumio, Cognitive methods, CompuCom, Dell, Dell EMC, Dell technologies, Diablo technologies, Digital Optics, Dreamchain, Echelon, Ericsson, severe Networks, Flex, Foxconn, body (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Google (Nest-Revolve), Google Cloud, HP Inc., Hewlett Packard commercial enterprise, Honeywell, Huawei applied sciences, IBM, Ion VR, Inseego, Infosys, Intel, Interdigital, Jabil Circuit, Konica Minolta, Lattice Semiconductor, Lenovo, Linux groundwork, MapBox, Marvell, Mavenir, Marseille Inc, Mayfair equity, Meraki (Cisco), Mesophere, Microsoft, Mojo Networks, national contraptions, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nuvia, ON Semiconductor, ONUG, OpenStack foundation, Oracle, Poly, Panasas, Peraso, Pexip, Pixelworks, Plume Design, Poly, Portworx, Pure Storage, Qualcomm, Rackspace, Rambus, Rayvolt E-Bikes, red Hat, Residio, Samsung Electronics, SAP, SAS, Scale Computing, Schneider electric, Silver height, SONY, Springpath, Spirent, Splunk, dash, Stratus technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, TE Connectivity, TensTorrent, Tobii expertise, T-cell, Twitter, unity applied sciences, UiPath, Verizon Communications, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zebra, Zededa, and Zoho which may well be mentioned in blogs and research.

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