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Exam Code: CCA-500 Practice exam 2022 by Killexams.com team
CCA-500 Cloudera Certified Administrator for Apache Hadoop (CCAH)

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

Cloudera Certified Administrator for Apache Hadoop (CCAH)
Cloudera Administrator outline
Killexams : Cloudera Administrator outline - BingNews https://killexams.com/pass4sure/exam-detail/CCA-500 Search results Killexams : Cloudera Administrator outline - BingNews https://killexams.com/pass4sure/exam-detail/CCA-500 https://killexams.com/exam_list/Cloudera Killexams : The big data problem underlying cybersecurity

Responding to cybersecurity threats for much of the past 30 years, says former Navy CIO Rob Carey, invariably meant managing a combination of firewall, intrusion detection and identity management tools — and a growing array of data.

The problem, says Carey, now CEO of Cloudera Government Solutions, is that “the tools we use in cyber today…are not necessarily big data platforms that can deal with petabytes at a time, or even more, and still be effective.” That’s forcing CIOs and CISOs to look at that challenge from a different perspective, he says in a new episode of The Daily Scoop Podcast.

“Sometimes you need more money; sometimes you need to stare at the problem differently,” he says.

Carey suggests a smarter approach involves asking the question, “How can I take advantage of big data platforms to enable the cyber security toolset that I have to work better?”

Carey maintains that with AI and ML, it’s possible to look at security threats from a behavioral standpoint, rather than from a signature standpoint. AI and ML have started to demonstrate the ability to “automate some of the decision making so that now the people in the security operations center can focus their human eyes on more complex problems.”

“The larger the network surface area, the more data is coming in,” especially with the Presidential Executive Order on Cybersecurity requiring continuous monitoring, he says. That requires not only capturing more data but enriching it so it algorithms can process it faster. Carey goes on to explain how more advanced data platforms can help CIOs and CISOs identify cyberthreats faster and take more appropriate action to mitigate them.

You can hear latest news and trends facing government leaders on such courses as technology, management and workforce on FedScoop and on The Daily Scoop Podcast channels on Apple Podcasts, Google Podcasts, Soundcloud, Spotify and Stitcher.

This podcast was produced by Scoop News Group for The Daily Scoop Podcast and underwritten by Cloudera.

Rob Carey is president of Cloudera Government Solutions. Prior to leading the public sector divisions of several IT and security firms, Carey served as CIO of the Department of Navy and principal deputy CIO of the Department of Defense.

Wed, 12 Oct 2022 07:30:00 -0500 en text/html https://www.fedscoop.com/radio/the-big-data-problem-underlying-cybersecurity/
Killexams : Cloudera Announces New Hybrid Data Capabilities

SANTA CLARA, Calif., Oct. 12, 2022 — Cloudera, the hybrid data company, today announced new hybrid data capabilities that enable organizations to more efficiently move data, metadata, data workloads and data applications across clouds and on premises to optimize for performance, cost and security. Cloudera’s portable data services enable simple, low-risk data workload and data application movement for ultimate data lakehouse optionality.

The company’s new secure data replication simplifies and secures movement of data and metadata, the latest SDX enhancement in Cloudera’s unified data fabric. And Cloudera universal data distribution delivers the first data ingestion solution built for hybrid data. These new capabilities are key to getting control of hybrid data through a data-first strategy. When companies do right by their data, the entire business can access and analyze it without limitations.

“As data continues to grow exponentially, enterprises must identify the critical tools that enable rapid business transformation in an increasingly hybrid and multi-cloud environment,” said Daniel Newman, founding partner and principal analyst at Futurum Research. “Cloudera has a long proven track record for handling large and complex data volumes in even the most highly regulated and compliance intensive industries. With these updates, Cloudera is further advancing its position as a leader for data-first enterprises seeking to leverage AI/ML and hybrid architectures to drive their businesses forward.”

The volume of data businesses collect and store from on-premises, cloud and streaming locations continues to soar. Statista projects the total amount of data generated globally to hit more than 180 zettabytes by 2025. This is the challenge of hybrid data. Adding to the pressure that require organizations to derive insights from their data at an ever-faster pace are economic and market forces. Furthermore, industry experts agree that getting control of data at scale is the only way to drive continuous business transformation with ML and AI. Cloudera’s new data analytics and data management innovations for hybrid data are specifically designed to help organizations manage data at scale across data centers and public clouds, helping make ML and AI business transformation possible.

“Cost or performance is not a choice companies want to make, especially since – as enterprises move to a hybrid, multi-cloud world – these two things are tightly interlinked, ” said Sudhir Menon, Chief Product Officer at Cloudera. “Organizations that choose a data-first strategy can focus on how they deliver value, not just how they spend money. A huge piece of this is the ability to move data and workloads whenever and wherever throughout a modern data architecture to meet evolving business requirements. Cloudera has always provided consistent data security and governance across hybrid cloud, and with these updates will do so between all data services across all infrastructures.”

The new Cloudera data analytics and data management innovations for hybrid data include:

  • Portable Data Services enable data analytics and the data applications that are built with them to be moved quickly and efficiently between different infrastructures without costly redeveloping or rearchitecting the data applications. CDP Data Services – Data Engineering, Data Warehousing and Machine Learning – are each built on a unified code base and offer identical functionality on AWS, Azure and on-prem Private Cloud. Using data services that run identically across different clouds – yes the same bits – makes it easier for users, administrators and developers to turn data into value and insight. Users have the same data experience, irrespective of where the data is stored or where the data applications run – the same data analytics functions, same Cloudera SDX security and governance, tailored to run seamlessly with the cloud-native storage on the preferred cloud. Only Cloudera delivers true hybrid data analytics that enables organizations to easily move data workloads and data applications across clouds to optimize for performance, cost and security.
  • Secure Data Replication enables data and the metadata to be copied or moved quickly and securely between different Cloudera deployments in data centers and public clouds. Data is often created in different places from where it’s needed. Secure data replication is enabled by the replication manager, the latest addition to Cloudera SDX. Only Cloudera’s Replication Manager moves the metadata that carries data security and governance policies with the data wherever it goes, eliminating the need to reimplement them. Replication manager is a data movement service that moves data and metadata from on-premises to cloud or cloud to cloud in real time with an easy policy driven interface, enabling hybrid data flexibility.
  • Universal Data Distribution enables companies to take control of their data flows, from origination through all points of consumption both on-premises and in the cloud, in a universal way that’s simple, secure, scalable and cost-effective. Universal data distribution is enabled by Cloudera DataFlow, the first data ingestion solution built for a hybrid data world. Unlike dumbed-down, target-system-specific, wizard-based connector solutions, Cloudera DataFlow provides indiscriminate data distribution with 450+ connectors and processors across an ecosystem of hybrid cloud services including data lakes, lakehouses, cloud warehouses, on-premises and edge data sources. Cloudera DataFlow, is a true hybrid data ingestion solution that addresses the entire diversity of data movement use cases: batch, event-driven, edge, microservices and continuous/streaming. With Cloudera DataFlow, streaming is treated as a first-class citizen, turning any data source into a data stream, supporting streaming scale, and unlocking hundreds of thousands of data-generating clients.

About Cloudera

Cloudera believes data can make what is impossible today, possible tomorrow. Cloudera taught the world the value of data, creating an industry and ecosystem powered by the relentless innovation of the open source community. Cloudera empowers its customers, leaders in their industries, to transform complex data into clear and actionable insights. Through Cloudera’s hybrid data platform, organizations are able to build their data-driven future by getting data, no matter where it resides, into the hands of those that need it.


Source: Cloudera

Tue, 11 Oct 2022 12:00:00 -0500 text/html https://www.datanami.com/this-just-in/cloudera-announces-new-hybrid-data-capabilities/
Killexams : FEMA administrator outlines federal response to Hurricane Ian

Deanne Criswell:

Yes, Amna, with storms like this, these types of catastrophic impacts, we always see power outages. And, in some parts, it does take days, because not — it's not always the generation side, but it's getting that transmission in that distribution side back connected to homes, so we can restore power.

We have staged a lot of resources, generators to come in and support primarily critical facilities, especially hospitals. We know that Florida has a really robust capability. And many of the hospitals, if not all of them, have a strong generator capability. But we want to make sure that we have redundant capacity to support any of those types of critical infrastructure needs as they may arise.

But we have also brought in the Army Corps of Engineers, and they have got personnel ready to go to do emergency power assessments, so we can prioritize where we need to restore power, as well as where we might need to use these types of generators to keep these critical facilities running.

Wed, 28 Sep 2022 11:09:00 -0500 en-us text/html https://www.pbs.org/newshour/show/fema-administrator-outlines-federal-response-to-hurricane-ian
Killexams : Cloudera debuts new hybrid capabilities for moving data at large scale

Big-data company Cloudera Inc. has today announced new hybrid data capabilities designed to allow organizations to move data, metadata, data workloads and data applications efficiently across cloud and on-premises data services.

Leading the list are new portable data services that the company says will enable simple, low-risk data workload and application movement for data lakehouses, a hybrid of data warehouses and data lakes. A new secure data replication feature, part of an SDX enhancement of Cloudera’s unified data fabric, simplifies and secures the movement of data and metadata.

Next on the list, a new universal data distribution feature, is claimed to be the first “data ingestion solution built for hybrid data.” Cloudera says the new capabilities are crucial to controlling hybrid data through a data-first strategy by allowing a business to access and analyze data without limitations.

Portable data services in the release enable data analytics and applications to be moved quickly and efficiently between different infrastructures without costly redeveloping or rearchitecting the data applications. CDP Data Services – data engineering, data warehousing and machine learning — are built on a unified code base and offer identical functions on Amazon Web Services Inc., Microsoft Corp.’s Azure and on-premises private clouds.

Using data services that run identically across different clouds is said to make it easier for users, administrators and developers to turn data into value and insight. Users have the same data experience, irrespective of where the data is stored or applications run.

Secure data replication enables data and metadata to be copied or moved quickly and securely between different Cloudera deployments in data centers and public clouds. The replication manager, a new addition to Cloudera SDX, carries data security and governance policies with the data wherever it goes.

Universal data distribution enables companies to take control of their data flows, from origination through all points of consumption, both on-premises and in the cloud, simply and securely while being scalable and cost-effective, according to the company. Offered as part of Cloudera DataFlow, the service provides data distribution with over 450 connectors and processors across an ecosystem of hybrid cloud services including data lakes, lakehouses, cloud warehouses, on-premises and edge data sources.

“Cost or performance is not a choice companies want to make, especially since — as enterprises move to a hybrid, multi-cloud world — these two things are tightly interlinked,“ explained Sudhir Menon, chief product officer at Cloudera. “Organizations that choose a data-first strategy can focus on how they deliver value, not just how they spend money.”

Menon noted that the ability to move data and workloads whenever and wherever throughout a modern data architecture is needed to meet evolving business requirements. “Cloudera has always provided consistent data security and governance across the hybrid cloud and with these updates, will do so between all data services across all infrastructures,” Menon added.

Image: Cloudera

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Wed, 12 Oct 2022 20:26:00 -0500 en-US text/html https://siliconangle.com/2022/10/12/cloudera-debuts-new-hybrid-capabilities-moving-data-scale/
Killexams : Modern Warfare 2 trailer outlines PC features
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Activision has released a trailer (opens in new tab) outlining the PC features of the upcoming Modern Warfare 2 (opens in new tab), releasing on October 28. This game is not to be confused with Call of Duty: Modern Warfare 2, which was released on November 12, 2009.

It all looks pretty good, if to be expected for a AAA PC release in 2022. In between snippets of gameplay, the trailer promises features like 4k graphics and ultrawide support. The first one, ok, sure, everyone and their mother is doing 4k (or at least 4k reconstructions), but ultrawide isn't always a given, so it's nice to have the assurance from Activision.