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February 13, 2021

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Test Number : DVA-C01
Test Name : AWS Certified Developer Associate 2018 (DVA-C01)
Vendor Name : Amazon
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DVA-C01 exam Format | DVA-C01 Course Contents | DVA-C01 Course Outline | DVA-C01 exam Syllabus | DVA-C01 exam Objectives

Format : Multiple choice, multiple answer
Type : Associate
Delivery Method : Testing center or online proctored exam
Time : 130 mins to complete the exam

The AWS Certified Developer - Associate examination is intended for individuals who perform a development role and have one or more years of hands-on experience developing and maintaining an AWS-based application.

Recommended Knowledge and Experience
- In-depth knowledge of at least one high-level programming language
- Understanding of core AWS services, uses, and basic AWS architecture best practices
- Proficiency in developing, deploying, and debugging cloud-based applications using AWS
- Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
- Ability to identify key features of AWS services
- Understanding of the AWS shared responsibility model
- Understanding of application lifecycle management
- Ability to use a CI/CD pipeline to deploy applications on AWS
- Ability to use or interact with AWS services
- Ability to apply a basic understanding of cloud-native applications to write code
- Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)
- Ability to author, maintain, and debug code modules on AWS
- Proficiency writing code for serverless applications
- Understanding of the use of containers in the development process

Exam Content
There are two types of questions on the examination:
=> Multiple choice: Has one correct response and three incorrect responses (distractors).
=> Multiple response: Has two or more correct responses out of five or more options.
Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that an examinee with incomplete knowledge or skill would likely choose. However, they are generally plausible responses that fit in the content area defined by the test objective. Unanswered questions are scored as incorrect; there is no penalty for guessing.

Unscored Content
Your examination may include non-scored questions that are placed on the test to gather statistical information.
These questions are not identified on the form, and do not affect your score.

Exam Results
The AWS Certified Developer - Associate (DVA-C01) examination is a pass or fail exam. The examination is scored against a minimum standard established by AWS professionals guided by certification industry best practices and guidelines.
Your results for the examination are reported as a score from 100–1,000, with a minimum passing score of 720.
Your score shows how you performed on the examination as a whole and whether or not you passed. Scaled scoring models are used to equate scores across multiple exam forms that may have slightly different difficulty levels.
Your score report contains a table of classifications of your performance at each section level. This information is designed to provide general feedback concerning your examination performance. The examination uses a compensatory scoring model, which means that you do not need to “pass” the individual sections, only the overall examination. Each section of the examination has a specific weighting, so some sections have more questions than others. The table contains general information, highlighting your strengths and weaknesses. Exercise caution when interpreting section-level feedback.

Domain 1: Deployment 22%
Domain 2: Security 26%
Domain 3: Development with AWS Services 30%
Domain 4: Refactoring 10%
Domain 5: Monitoring and Troubleshooting 12%
TOTAL 100%

Domain 1: Deployment
1.1 Deploy written code in AWS using existing CI/CD pipelines, processes, and patterns
1.2 Deploy applications using Elastic Beanstalk
1.3 Prepare the application deployment package to be deployed to AWS
1.4 Deploy serverless applications

Domain 2: Security
2.1 Make authenticated calls to AWS services
2.2 Implement encryption using AWS services
2.3 Implement application authentication, and authorization

Domain 3: Development with AWS Services
3.1 Write code for serverless applications
3.2 Translate functional requirements into application design
3.3 Implement application design into application code
3.4 Write code that interacts with AWS services by using APIs, SDKs, and AWS CLI

Domain 4: Refactoring
4.1 Optimize application to best use AWS services and features
4.2 Migrate existing application code to run on AWS

Domain 5: Monitoring and Troubleshooting
5.1 Write code that can be monitored
5.2 Perform root cause analysis on faults found in testing or production

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Amazon Developer PDF Questions

natural Language Processing Market goes to growth with IBM, Microsoft, Google, Amazon internet capabilities | DVA-C01 exam Questions and real Questions

Natural Language Processing

herbal Language Processing

latest launched the research study on world herbal Language Processing Market, offers an in depth overview of the elements influencing the global company scope. natural Language Processing Market analysis file indicates the latest market insights, current circumstance evaluation with upcoming developments and breakdown of the products and functions. The record offers key information in the marketplace reputation, size, share, growth factors of the natural Language Processing Market. The study covers emerging player’s facts, together with: aggressive panorama, income, earnings and international market share of desirable producers.good players in world herbal Language Processing Market are:IBM, Microsoft, Google, Amazon web functions, Inc., facebook, Apple, 3M, Intel business enterprise, SAS Institute,

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herbal Language Processing Overview:natural language processing (NLP) is a department of AI, Which helps computer systems be aware, interpret and manipulate human language. herbal language processing draws from many disciplines, including computational linguistics and computing device science, in its pursuit to fill the gap between computing device realizing and human conversation.

natural Language Processing Market Segmentation: by way of classification (Rule-based mostly, Statistical, Hybrid), application (web Search, computer Translation, counsel Extraction, automatic Summarization, query Answering, text Classification, Sentiment analysis, Others (unsolicited mail attention and Language Identification)), Deployment Mode (Cloud-based mostly, On-Premises), trade Verticals (Banking, monetary functions and coverage (BFSI), Manufacturing, Healthcare and lifestyles Sciences, Retail and eCommerce, executive and defense, Media and leisure, Telecommunications and IT, trip and Hospitality, Others (research and training, and power and Utilities)), element (options application equipment, Platform, capabilities Managed capabilities, professional features)

commonly requested Questions:• What are the predominant trends in the market?The Evolution of natural Language UnderstandingUse of Supervised and Unsupervised researching in conjunction with NLPReplacement of manual Translation with computer TranslationIntegrated Chatbot is the essential vogue Witnessing within the industry

• who are the proper players available in the market?IBM, Microsoft, Google, Amazon web functions, Inc., fb, Apple, 3M, Intel corporation, SAS Institute,• what's the key market driver?increase in sensible machine UsageGrowth in the Adoption of Cloud-based solutions

• What are the important thing market restraints?The growing to be use of Code-combined Language leading to extended Complexity for herbal Language Processing projects

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Analyst at AMA have performed special survey and have related with opinion leaders and industry experts from numerous location to minutely have in mind affect on boom in addition to native reforms to combat the circumstance. a different chapter in the examine gifts influence analysis of COVID-19 on world herbal Language Processing Market along with tables and graphs related to various nation and segments showcasing influence on boom traits.

Strategic features covered in table of content of international natural Language Processing Market:Chapter 1: Introduction, market using force product goal of look at and analysis Scope the world herbal Language Processing marketChapter 2: unique abstract – the fundamental guidance of the global natural Language Processing Market.Chapter 3: showing the Market Dynamics- Drivers, developments and Challenges of the world natural Language ProcessingChapter four: proposing the international herbal Language Processing Market component analysis Porters 5 Forces, give/price Chain, PESTEL analysis, Market Entropy, Patent/Trademark analysis.Chapter 5: showing the through type, end user and place 2013-2020Chapter 6: Evaluating the leading producers of the world natural Language Processing market which contains its competitive panorama, Peer group analysis, BCG Matrix & enterprise ProfileChapter 7: To consider the market via segments, through international locations and with the aid of manufacturers with profits share and income by way of key international locations in these a considerable number of regions.Chapter 8 & 9: showing the Appendix, Methodology and statistics SourceFinally, world herbal Language Processing Market is a constructive supply of suggestions for people and corporations.

records Sources & MethodologyThe simple sources contain the business experts from the global herbal Language Processing Market including the management agencies, processing businesses, analytics provider suppliers of the trade’s cost chain. All fundamental sources have been interviewed to gather and authenticate qualitative & quantitative tips and determine the future possibilities.in the extensive fundamental analysis system undertaken for this look at, the simple sources – Postal Surveys, mobile, online & Face-to-Face Survey were considered to obtain and assess each qualitative and quantitative features of this analysis study. When it involves secondary sources enterprise’s Annual reviews, press Releases, web sites, Investor Presentation, conference name transcripts, Webinar, Journals, Regulators, countrywide Customs and business Associations got primary weightage.

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Definitively, this file will provide you an unmistakable standpoint on every single reality of the market without a need to allude to some other research record or an guidance supply. Their record will supply all of you the realities about the past, existing, and eventual destiny of the panic Market.

Thanks for studying this text; that you could additionally get individual chapter intelligent section or region intelligent report version like North the us, Europe or Asia.

Craig Francis (PR & marketing supervisor)AMA analysis & Media LLPUnit No. 429, Parsonage highway Edison, NJNew Jersey united states of america – 08837Phone: +1 (206) 317 1218sales@advancemarketanalytics.com

join with us athttps://www.linkedin.com/enterprise/improve-market-analyticshttps://www.facebook.com/AMA-research-Media-LLP-344722399585916https://twitter.com/amareport

enhance Market Analytics is world leaders of Market analysis trade offers the quantified B2B analysis to Fortune 500 companies on high growth emerging alternatives as a way to have an effect on more than eighty% of global organizations' revenues.Our Analyst is tracking excessive boom analyze with unique statistical and in-depth analysis of market trends & dynamics that deliver an entire overview of the industry. They comply with an intensive research methodology coupled with crucial insights linked trade components and market forces to generate the ideal price for their customers. They provides professional fundamental and secondary records sources, their analysts and consultants derive informative and usable information appropriate for their purchasers company wants. The research analyze allow valued clientele to satisfy numerous market objectives a from international footprint expansion to provide chain optimization and from competitor profiling to M&As.

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