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Test Number : C2090-101
Test Name : IBM Big Data Engineer
Vendor Name : IBM
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C2090-101 exam Format | C2090-101 Course Contents | C2090-101 Course Outline | C2090-101 exam Syllabus | C2090-101 exam Objectives


Exam Title : IBM Certified Data Engineer - Big Data
Exam ID : C2090-101
Exam Duration : 75 mins
Questions in exam : 53
Passing Score : 65%
Official Training : IBM Knowledge Center
Exam Center : Pearson VUE
Real Questions : IBM Big Data Engineer Real Questions
VCE practice test : IBM C2090-101 Certification VCE Practice Test

Data Loading
- Load unstructured data into InfoSphere BigInsights
- Import streaming data into Hadoop using InfoSphere Streams
- Create a BigSheets workbook
- Import data into Hadoop and create Big SQL table definitions
- Import data to HBase
- Import data to Hive
- Use Data Click to load from relational sources into InfoSphere BigInsights with a self-service process
- Extract data from a relational source using Sqoop
- Load log data into Hadoop using Flume
- Insert data via IBM General Parallel File System (GPFS) Posix file system API
- Load data with Hadoop command line utility 34%
Data Security
- Keep data secure within PCI standards
- Uses masking (e.g. Optim, Big SQL), and redaction to protect sensitive data 8%
Architecture and Integration
- Implement MapReduce
- Evaluate use cases for selecting Hive, Big SQL, or HBase
- Create and/or query a Solr index
- Evaluate use cases for selecting potential file formats (e.g. JSON, CSV, Parquet, Sequence, etc..)
- Utilize Apache Hue for search visualization 17%
Performance and Scalability
- Use Resilient Distributed Dataset (RDD) to Boost MapReduce performance
- Choose file formats to optimize performance of Big SQL, JAQL, etc.
- Make specific performance tuning decisions for Hive and HBase
- Analyze performance considerations when using Apache Spark 15%
Data Preparation, Transformation, and Export
- Use Jaql query methods to transform data in InfoSphere BigInsights
- Capture and prep social data for analytics
- Integrating SPSS model scoring in InfoSphere Streams
- Implement entity resolution within a Big Data platform (e.g. Big Match)
- Utilize Pig for data transformation and data manipulation
- Use Big SQL to transform data in InfoSphere BigInsights
- Export processing results out of Hadoop (e.g. DataClick, DataStage, etc.)
- Utilize consistent regions in InfoSphere Streams to ensure at least once processing 26%



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IBM Data cheat sheet

Quantum computing: A cheat sheet | C2090-101 practice test and real Questions

IBM, Honeywell, and Intel are just three businesses leading the way in constructing quantum machines as smartly because the algorithms and controls to run them. study possible company use situations for quantum.

Quantum computing--considered to be the next technology of excessive-efficiency computing--is a hastily-changing box that receives equal elements consideration in academia and in business analysis labs. Honeywell, IBM, and Intel are independently constructing their own implementations of quantum programs, as are startups reminiscent of D-Wave programs. In late 2018, President Donald Trump signed the national Quantum Initiative Act that provides $1.2 billion for quantum research and construction. 

TechRepublic's cheat sheet for quantum computing is located both as an simply digestible introduction to a new paradigm of computing, in addition to a living e-book that may be up to date periodically to retain IT leaders counseled on advances within the science and commercialization of quantum computing.

SEE: The CIO's e-book to quantum computing (ZDNet/TechRepublic special function) | get the free PDF version (TechRepublic)

executive summary
  • what is quantum computing? Quantum computing is a constructing know-how that scientists expect will deliver quicker computational options to issues at present handled through supercomputers.
  • Why does quantum computing be counted? Theoretically, quantum computer systems can be used to crack RSA cryptography, which is established across the web. Quantum computing also has the skills to resolve problems that have been previously considered unsolvable. 
  • Who does quantum computing affect? essentially researchers working in quantum physics, notwithstanding advances in quantum computing are predicted to have an effect on other "fuzzy common sense" disciplines, reminiscent of synthetic intelligence (AI) and desktop studying (ML).
  • What are the company alternatives related to quantum computing? All industries will advantage through distinct use circumstances as a result of quantum computing enables statistics to be consumed and processed quicker while using less power. 
  • Which organizations are leading the quantum computing race? AWS, Google, Honeywell, IBM, and Microsoft are setting up quantum computing capabilities and features. Intel is constructing quantum processors. Smaller organizations together with 1QBit, D-Wave, IonQ, and Rigetti Computing are also working on quantum computing, including quantum contraptions and quantum capabilities.  
  • what's quantum computing as a service? each colossal tech companies and startups working in the quantum world have became to the "as a service" mannequin to make this new compute vigour attainable to a broader viewers. 
  • When will quantum computers be released? programs confined to a selected class of quantum computation known as digital annealing are commercially obtainable, notwithstanding there isn't yet a transparent advantage in comparison to normal computers.
  • How do I get a quantum desktop? a number of providers offer cloud-primarily based entry to quantum computers. in spite of the fact that procuring a gadget outright is possible, it is likely charge prohibitive, as existing programs are best positive for specialized workloads.
  • SEE: All of TechRepublic's cheat sheets and smart grownup's courses

    what's quantum computing?

    Quantum computing is an rising technology that makes an attempt to overcome limitations inherent to common, transistor-based computers. Transistor-based mostly computers rely on the encoding of data in binary bits--both 0 or 1. Quantum computers make the most of qubits, which have different operational residences. while it is possible to encode binary information in a qubit, the herbal state of a qubit is practically superposition. This property allows qubits to have values of 0 and 1 (or values between 0 and 1) concurrently. Likewise, as a result of the homes of quantum physics, varied measurements of qubits in similar states will not return similar outcomes. Qubits can additionally include up to 2 bits of binary statistics as part of a method known as superdense coding.

    the usage of quantum computation, mathematically complex projects which are at current usually handled by using supercomputers--protein folding, as an example--can theoretically be performed by quantum computer systems at a decrease energy can charge than transistor-based mostly supercomputers. while present quantum machines are virtually proof-of-thought gadgets, the algorithms which would be used on construction-capable machines are being demonstrated at this time, to ensure that the consequences are predictable and reproducible. on the present stage of development, a given problem can also be solved through each quantum and traditional (binary) computers. As manufacturing strategies used to build quantum computers is refined, it's predicted that they will turn into faster at computational tasks than ordinary, binary computers.

    further, quantum supremacy is the edge at which quantum computers are theorized to be able to fixing issues, which traditional computer systems would not (very nearly) be in a position to solve. very nearly speaking, quantum supremacy would deliver a superpolynomial speed increase over the choicest well-known (or viable) algorithm designed for average computer systems. Theoretically, this may also be tested the usage of Shor's algorithm for leading factorization, which would supply any such velocity increase when carried out on a quantum laptop, as factoring is concept to be generally challenging with usual computer systems (even though, here is now not confirmed, within the scientific feel of "proof").

    SEE: analysis: Quantum computing in the commercial enterprise; key providers, predicted benefits, and have an effect on (TechRepublic premium)

    Researchers use the NISQ (Noisy Intermediate-Scale Quantum Computing) label to explain all the quantum machines working at the moment; this means the machines do not have full-blown error correction. Researchers can put up their quantum queries to cloud-based features to gain adventure with what quantum computer systems can do.

    A analysis paper published in Science in October 2018 titled "Quantum skills with shallow circuits" Checked a variant of the Bernstein-Vazirani problem, by which researchers proved that a quantum computer with a fixed circuit depth will outperform a classical laptop used to compute the identical problem. while this does not itself establish quantum supremacy, it does show the expertise of quantum computer systems as subtle designs raise the number of qubits, and the length of quantum coherence, permitting for greater advanced calculations to be performed.

    Quantum quantity is one other solution to measure the growth of the industry, as Paul Smith-Goodson explained for Forbes. Quantum extent measures a couple of accessories of a quantum computing device's efficiency, together with coherence, calibration errors, crosstalk, spectator mistakes, gate constancy, dimension, and fidelity. The calculation also takes into account design features of each laptop. A quantum quantity score suggests the complexity of a problem that the laptop can clear up. 

    IBM introduced in August 2020 that it has finished a quantum quantity of 64 with a 27-qubit customer-deployed system. Honeywell reported in June 2020 that it had reached a quantum extent of 64 with a 6-qubit device. 

    The subsequent milestone that remains some years in the future is quantum abilities. When quantum computers hit that milestone, the machines may be in a position to resolve real-world problems that classical computer systems can't crack. 

    additional components:

    Why does quantum computing rely?

    Theoretically, developments in quantum computing would result in a breakthrough in integer factorization. If integer factorization grew to be trivial to operate, the integrity of everyday encryption methods would be shattered, enabling any one, firm, or govt with entry to quantum computer systems the means to brute-drive decryption keys, with which locked devices or encrypted archives can be made available. because of concerns within the cybersecurity neighborhood in regards to the viability of quantum computer systems in breaking encryption, research into lattice-primarily based cryptography--which is notion to not be liable to being broken with the aid of quantum computers--has elevated.

    To that end, in January 2014, stories indicated that the NSA has spent $79.7 million on a application titled "Penetrating complicated goals." As a part of this program, research changed into carried out to construct "a cryptologically advantageous quantum computer." The documents noted during this document point out that the NSA has now not been noticeably more a hit than other researchers. Likewise, the country wide Institute of requisites and know-how (NIST) published a request in December 2016 requesting public input on a way to deliver protection to computers from the chance of quantum computers getting used to crack encryption.

    There isn't any consensus on when quantum computers could be capable of cracking encryption. In a may also 2018 interview with TechRepublic, Bob Sutor, IBM analysis's vp of cognitive, blockchain, and quantum options, estimated that quantum computers are 30-40 years away from breaking common cryptographic algorithms. The same month, IBM's then research director and current chief govt officer Arvind Krishna warned that "anyone that wishes to make sure that their information is covered for longer than 10 years may still movement to alternate kinds of encryption now."

    SEE: Quantum encryption: how it works (TechRepublic)

    Quantum computing is additionally predicted to have other significant influences backyard of the container of cryptography. as a result of the nature of quantum computation, they're uniquely fantastic to so-called "optimization issues," the place an exponential variety of diversifications to consider exist. In an interview with TechRepublic, Andy Stanford Clark, IBM CTO for UK and eire offered an illustration: "If... you are optimizing the lengths of aircraft routes, or optimizing the layout of spare ingredients for a rail network, whatever thing where there may be 2n probabilities and also you've acquired to are attempting every out so as to find the most efficient answer. in case you had a 2100 problem, which would be in fact unattainable to solve on a classical computer, with a 100-qubit quantum computing device, you would be able to clear up it in a single operation."

    extra materials:

    Who does quantum computing affect?

    research into quantum computing is driving a pretty good deal of funding from universities, IT corporations, and undertaking capital. assorted public-inner most partnerships have sprung up as groups work with research departments in universities to find use situations where quantum computing can be applied to current enterprise operations.

    The IBM Q network is the greatest of these, with collaborating universities together with North Carolina State school, Melbourne tuition, Oxford school, and Keio tuition, and collaborating organizations together with Samsung, JPMorgan Chase, Mitsubishi UFJ monetary community, Mizuho economic community, and Mitsubishi Chemical.

    Others consist of a collaboration between the Australian firm Silicon Quantum Computing, and France's national research and building (R&D) company, the Commissariat à l'Energie Atomique et aux Energies alternatives (CEA).

    In December 2018, Trump signed into legislations the country wide Quantum Initiative Act. This centered the national Quantum Initiative program, in an effort to devise a 10-year plan to speed up the construction of quantum suggestions science and technology. The act additionally directed the countrywide Science and technology Council, the national Institute of requisites and expertise, the country wide Science groundwork, and the branch of energy to guide the hassle with related initiatives. The White apartment introduced the national Quantum Initiative Advisory Committee in August 2020, which comprises people from the university of Chicago, Intel, Google, Sandia countrywide Laboratories, Microsoft research, Harvard institution, Duke institution, and different universities and analysis institutes.

    additionally in August 2020, the White condo office of Science and know-how coverage (OSTP) and the department of energy announced funding up to $625 million over five years to guide 5 quantum research facilities at national labs around the country. 

    extra components:

    What are the enterprise opportunities concerning quantum computing?  

    Quantum computing has the abilities to remedy complex issues in each industry--probably the most first use circumstances should be in finance, chemistry, pharmaceutical research, and logistics. Quantum computer systems should be able to analyze an almost infinite number of feasible solutions to locate probably the most promising ones. With logistics, as an instance, a quantum algorithm may analyze start routes or transportation schedules to establish the most suitable or fastest routes. An airline that used a quantum laptop for route planning might strengthen a strategic talents over an extra that didn't. Denise Ruffner, the pinnacle of business building at IonQ, noted that the trade is nearing the conclusion of the early adopter phase. now is the time to take into account the skills of quantum computing and its business purposes.

    JPMorgan Chase has been doing simply that--the banking business become some of the early customers for IBM's quantum desktop. The business additionally has been exploring the "quantum lifestyle" and giving senior engineer Constantin Gonciulea time to put together the company for the quantum future. He expects quantum computing to be thoroughly commercialized in five to 10 years and is laying the groundwork for JPMorgan Chase to be ready to take talents of that computing vigour--this potential studying analysis papers and meeting with other engineers to talk about the probabilities. The economic functions business is planning a Quantum Computing summer pals application for 2021 to construct a pipeline of personnel common with the know-how.

    IBM's research director Dario Gil mentioned at CES 2020 that the promise of quantum computing is the vigor to model natural approaches and have in mind how they work. "Quantum is the simplest technology they recognize that alters the equation of what's feasible to resolve versus impossible to solve," he stated.

    Jeannette Garcia, senior supervisor for quantum applications algorithms and idea at IBM research, shared one of the true-world complications that the enterprise is working on: 

  • better nitrogen-fixation technique for developing ammonia-based mostly fertilizer
  • New courses of antibiotics to counter multidrug-resistant bacteria
  • New polymers that might substitute metal-primarily based part
  • Garcia's focus is battery analysis, which is additionally the theme of a new IBM partnership with Daimler. She spoke of researchers are the usage of quantum computing to figure out quantum chemistry.

    Gil mentioned that the "quantum equipped" era all started in 2016 and the subsequent phase will start when the technology improves enough to obtain "quantum expertise." 

    "First, an entire era of developers is going to should learn how to program these computer systems," he pointed out. "Then when they hit quantum abilities, they are going to be capable of resolve actual-world issues, and it's absolutely going to turn up this decade."

    further components:

    Which companies are leading the quantum computing race? 

    IBM receives probably the most attention for its work in the sector to build quantum machines and to create a neighborhood round quantum computing. IBM's quantum work has three center of attention areas: speed up analysis, Boost business applications, and teach and put together. The company's Q network comprises Fortune 500 organizations, country wide research labs, universities, and startups. IBM set out a quantum roadmap in September 2020 with plans for a 1,121-qubit gadget in 2023.

    Microsoft is constructing a full-stack quantum ecosystem as well as a quantum community with companions that consist of organizations, researchers, teachers, and developers. The company's quantum development kit contains an open-source toolkit, development environments, and an open-source group.

    Honeywell has utilized its deep journey with techniques manage to strengthen a quantum laptop. The company uses a trapped ion model for its quantum computing carrier. This mannequin makes use of atomic ions trapped in a vacuum and cooled with lasers as qubits. IBM and Google use superconducting qubits of their quantum computer systems.

    Intel's work in quantum computing covers the entire stack from qubits and algorithms construction to handle electronics and interconnects. Jim Clarke is the director of the quantum hardware analysis group inside Intel and a member of the countrywide Quantum Advisory Committee. In late 2019, Intel launched a cryogenic control chip referred to as "Horse Ridge," after one of the most coldest areas in Oregon; the company claimed this will speed up construction of full-stack quantum programs partly by means of making it more straightforward to manage multiple qubits without delay. Clarke wrote on the time that a lack of analysis and building concentrated on controls technology is going to restrict development toward a huge-scale quantum device. Simplifying the control cabling required to work with lots of qubits at a time "might take quantum practicality to the conclude line tons sooner than is presently feasible," as Clarke wrote. Intel is working with researchers in the Netherlands to build these controls.

    Google is developing quantum processors and algorithms to remedy theoretical and functional issues--the focus areas are superconducting qubit processors, qubit meteorology, quantum simulation, quantum assisted optimization, and quantum neural networks. Google has developed two open-source frameworks to guide quantum computing: Cirq and OpenFermion. In October 2019, Google introduced that its fifty three-qubit Sycamore quantum computer completed a calculation that couldn't be achieved with a classical computer. other scientists talked about the calculation turned into chosen to construct on the strengths of a quantum desktop and the weaknesses of a normal desktop. In September 2020, Google introduced that a 12-qubit version of its Sycamore computer had simulated a simple chemical response. 

    In 2018, IBM held an adventure for quantum computing startups. Denise Ruffner turned into working there on the time and observed it was a combat to locate 10 companies--now there are more than 650 younger corporations working in the sector, she stated.

    D-Wave, 1Qbit, IonQ, Q-CTRL, Strangeworks, Xanadu, and Zapata Computing are all taking over a special challenge in quantum computing. On ZDNet, Esther Shein rounded up eight main quantum computing companies to watch.

    Cambridge Quantum Computing is one other member of the quantum ecosystem. With IBM, the business announced in September 2020 that it had built a random quantity generator that uses quantum computing.

    further resources:

    what's quantum computing as a provider?

    both colossal tech organizations and startups working in the quantum world have became to the "as a carrier" model to make this new compute vigour accessible to a broader audience.  

    As of April 2020, IBM stated that 225,000 americans are the use of the enterprise's Quantum experience cloud carrier. greater than a hundred organizations are purchasing its IBM Q top rate carrier to have entry to the enterprise's area depend experts apart from its hardware.

    Rigetti launched its Quantum Cloud features in 2018. The enterprise uses a hybrid quantum-classical strategy with its cloud capabilities to help extremely-low latency connectivity between a consumer's hardware and Rigetti's quantum computers. Rigetti's community APIs  supply entry to core quantum working gadget capabilities comparable to user authentication, device service authorization, circuit submission, circuit scheduling, reminiscence administration, and concurrency.

    Microsoft also offers access to quantum computing by means of the cloud and Azure.

    Amazon launched its quantum provider, Braket, in August 2020. Amazon Braket lets customers scan with quantum computing hardware to gain arms-on adventure with the expertise. it be is a single development atmosphere for building quantum algorithms, testing them on simulated quantum computers, and making an attempt them on several quantum hardware architectures. The platform includes methods from D-Wave, IonQ, and Rigetti. Amazon is also exploring heavily produced quantum computers via its new core for Quantum Computing.

    extra elements:

    When will quantum computer systems be purchasable?

    There are two solutions to this query: Now, and noticeably some distance in the future. The Canadian enterprise D-Wave programs sells a 5,000-qubit knowledge device, which Los Alamos national Laboratory deliberate to set up this 12 months. D-Wave's computer is a quantum annealer. Quantum annealing is the most excellent strategy for complications which have multiple "first rate ample options," as opposed to problems that have one most appropriate reply. D-Wave's method usually are not capable of spoil up to date cryptology but it may be able to find the way to make planes fly quicker.

    Fujitsu offers a "quantum impressed" digital annealer, which is a normal transistor-based computing device designed for quantum annealing tasks. besides the fact that children, Fujitsu doesn't market this equipment as a true quantum desktop, because the average transistor-primarily based design permits it to function at room temperature devoid of requiring helium-based cooling solutions, in addition to making it immune to noise and environmental conditions which have an effect on efficiency in quantum computers.

    In a popular feel, it's possible that quantum computing may well be a manageable option sooner or later to present transistor-primarily based options, even though non-trivial encumbrances in fabrication and mass-manufacturing need to be addressed for this to develop into a possible technology for mass trade adoption. amongst these encumbrances are the difficulty of building computer systems which scale to assorted qubits, the means to initialize qubits to a predictable value, and easing the capability wherein qubits can also be examine.

    further elements:

    How do I get a quantum computer?

    A quantum computing device isn't whatever you'll locate at your native large-field shop. Quantum computing elements are generally obtainable by the use of cloud functions with vendor-certain frameworks. offerings can be found from IBM Q (by the use of Qiskit), while Google has introduced the Cirq framework, even though it doesn't at this time have a cloud offering in generic availability. D-Wave leap enables authorized developers to habits quantum experiments for free of charge on its start Quantum construction ambiance. in a similar way, Fujitsu presents cloud entry to its digital annealer system.

    For purchasing programs outright, D-Wave's 2000Q device expenses $15 million (tremendous consumers include Volkswagen community and Virginia Tech). if your workloads are greater ordinary, building and purchasing a POWER9 deployment is likely a higher cost. very wellRidge countrywide Laboratory's SUMMIT supercomputer is a POWER9 and NVIDIA Volta-driven equipment planned at 4600 nodes, with a computational efficiency in excess of forty teraflops per node.

    Editor's note: this article was up to date by means of Veronica Combs. 

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