Hvorfor skal du bruge denne Amazon Web Services (AWS) vurderingstest

Amazon Web Services (AWS) Online -test hjælper rekrutterere og ansætter ledere med at identificere kvalificerede kandidater fra en pulje af CV. Testskærmene kandidater til de typiske AWS -færdigheder, som ledere leder efter: Design og opbygning af flere niveauer webarkitekturer med Amazon EC2 Auto Scaling, Amazon Elastic Load Balancing (ELB) og AWS Route 53 Oprettelse af Docker -containerklynger på Amazon Elastic Container Services (ECS) Opbevaring af blokering og fildata med maksimal ydelse ved hjælp af EBS og EFS: operationer, fejlfinding, målinger og raid Opbevaring af big data med S3 og DynamoDB på en skalerbar og sikker måde Opsætning af geografisk overflødige databasetjenester med Amazon Relational Database Service (RDS) - Sikkerhed, sikkerhedskopi, snapshots, ydeevne, målinger, fejlfinding, skalerbarhed Konfiguration af Amazon Virtual Private Clouds (VPC), undernet og ruteborde Opsætning af serverløs begivenhedsdrevet AWS Lambda-funktioner med Amazon Api Gateway Erfaring med AWS CLI: CLI -opsætning, brug på EC2, bedste praksis og SDK Sikring af AWS -tjenester: Identitet og adgangsstyring, MFA, standardkryptering, politikker, adgangslogfiler, CloudFront Overvågning, fejlfinding og revision: AWS Cloudwatch, CloudTrail Testen reducerer den administrative omkostning ved at interviewe for mange kandidater og sparer dyre teknisk tid ved at filtrere ukvalificerede kandidater.

AWS Online Assessment Test

About the test:

The AWS online assessment test evaluates candidates for the ability to deploy, manage and scale virtual servers (with services like EC2 and ECS), operate and scale storage services (with services like S3, RDS and DynamoDB), and manage application traffic flow (with services like Route 53 and CloudFront).

Covered skills:

Elastic compute cloud (EC2; EKS)
Identity and access management (IAM)
Database services (RDS; Redshift; Dynamo DB)
Docker containers and ECS
Serverless architecture with Lambda
Monitoring and auditing AWS services

Elastic load balancing and auto-scaling
Block and file storage (S3; EBS; EFS)
Networking services (Route 53; CloudFront; VPC)
Caching and performance optimization
AWS well architecture framework

See all covered skills

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9 reasons why

Adaface AWS Online Assessment Test is the most accurate way to shortlist AWS Developers

Reason #1

Tests for on-the-job skills

Amazon Web Services (AWS) Online -test hjælper rekrutterere og ansætter ledere med at identificere kvalificerede kandidater fra en pulje af CV. Testskærmene kandidater til de typiske AWS -færdigheder, som ledere leder efter:

Design og opbygning af flere niveauer webarkitekturer med Amazon EC2 Auto Scaling, Amazon Elastic Load Balancing (ELB) og AWS Route 53
Oprettelse af Docker -containerklynger på Amazon Elastic Container Services (ECS)
Opbevaring af blokering og fildata med maksimal ydelse ved hjælp af EBS og EFS: operationer, fejlfinding, målinger og raid
Opbevaring af big data med S3 og DynamoDB på en skalerbar og sikker måde
Opsætning af geografisk overflødige databasetjenester med Amazon Relational Database Service (RDS) - Sikkerhed, sikkerhedskopi, snapshots, ydeevne, målinger, fejlfinding, skalerbarhed
Konfiguration af Amazon Virtual Private Clouds (VPC), undernet og ruteborde
Opsætning af serverløs begivenhedsdrevet AWS Lambda-funktioner med Amazon Api Gateway
Erfaring med AWS CLI: CLI -opsætning, brug på EC2, bedste praksis og SDK
Sikring af AWS -tjenester: Identitet og adgangsstyring, MFA, standardkryptering, politikker, adgangslogfiler, CloudFront
Overvågning, fejlfinding og revision: AWS Cloudwatch, CloudTrail

Testen reducerer den administrative omkostning ved at interviewe for mange kandidater og sparer dyre teknisk tid ved at filtrere ukvalificerede kandidater.

Reason #2

No trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface ->

Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

Dette er kun en lille prøve fra vores bibliotek med 10.000+ spørgsmål. De faktiske spørgsmål om dette Amazon Web Services (AWS) Test vil være ikke-gåbart.

🧐 Question
Medium Data Microservices S3 SQS SNS	Solve
Slapchat deployed a new data processing application to the market. The backend part of the application does two specific segments: - For every new data file submitted by the user, proprietary data cleanup logic is done - Once data cleanup is complete, proprietary data transformations are done After launching the application for few months, the metrics indicated that the clean up stage of the application is pretty quick while transformation stage takes longer time to complete. In the next phase, the application is being re-written as 2 microservices (’cleanup’ and ‘transformation’). The deployment strategy is to run both on ECS and scale independently. How should the services be integrated? A: ‘cleanup’ publishes data to SNS topic, ‘transformation’ subscribes to the SNS topic B: ‘cleanup’ sends data to S3 bucket, ‘transformation’ is invoked by S3 event notifications C: ‘cleanup’ sends data to SQS queue, ‘transformation’ processes messages from the queue D: ‘cleanup’ sends data to Kinesis Data Firehose, ‘transformation’ reads from the Kinesis Data Firehose
Easy Downtime and Workload EC2	Solve
ChickTok is a dating app that runs on EC2 behind an ALB. The EC2 instances run in an EC2 Auto Scaling group across multiple AZ. On every Saturday night, the app becomes atleast 5 times slower. Upon investigation, it is found that the CPU utilization reaches 100% within a matter of seconds instead of being a gradual increment. This is happening due to a batch core dating algorithm update that happens on every Saturday 9PM. ChickTok wants a solution that - Tackles the extra workload - Avoids downtime Which of the following would you recommend?
Medium Outdated data in S3 S3	Solve
One of your friends, Zi Pong created a new app for their startup. They use Amazon S3 exclusively as a data store. The app works perfectly fine. When one of their users raises the frequency at which the app needs to refresh data, they file a bug. The issue is that sometimes they get outdated data when accessing objects in S3. The app logic is correct. What do you think the issue could be? A: App is reading objects from Amazon S3 using parallel object requests. B: App is updating records by writing new objects with unique keys. C: App is reading parts of objects from Amazon S3 using a range header. D: App is updating records by overwriting existing objects with the same keys.
Medium Push Notifications Dynamic DB AWS Mobile Push	Solve
Flowlife is a tips iOS app that is running on AWS with ~10 million users in the US. Users can post tips about a particular place (restaurants, businesses etc) and other users can search for the tips in the app. Flowlife wants to implement location based alerts on their iOS app. Users will receive relevant tips in proximity to their location. For maximum user engagement and relevant tips, the tips must be in the low minute count. Which of the following solutions is cost effective?

	🧐 Question	🔧 Skill
	Medium Data Microservices S3 SQS SNS	2 mins AWS	Solve
Slapchat deployed a new data processing application to the market. The backend part of the application does two specific segments: - For every new data file submitted by the user, proprietary data cleanup logic is done - Once data cleanup is complete, proprietary data transformations are done After launching the application for few months, the metrics indicated that the clean up stage of the application is pretty quick while transformation stage takes longer time to complete. In the next phase, the application is being re-written as 2 microservices (’cleanup’ and ‘transformation’). The deployment strategy is to run both on ECS and scale independently. How should the services be integrated? A: ‘cleanup’ publishes data to SNS topic, ‘transformation’ subscribes to the SNS topic B: ‘cleanup’ sends data to S3 bucket, ‘transformation’ is invoked by S3 event notifications C: ‘cleanup’ sends data to SQS queue, ‘transformation’ processes messages from the queue D: ‘cleanup’ sends data to Kinesis Data Firehose, ‘transformation’ reads from the Kinesis Data Firehose
	Easy Downtime and Workload EC2	2 mins AWS	Solve
ChickTok is a dating app that runs on EC2 behind an ALB. The EC2 instances run in an EC2 Auto Scaling group across multiple AZ. On every Saturday night, the app becomes atleast 5 times slower. Upon investigation, it is found that the CPU utilization reaches 100% within a matter of seconds instead of being a gradual increment. This is happening due to a batch core dating algorithm update that happens on every Saturday 9PM. ChickTok wants a solution that - Tackles the extra workload - Avoids downtime Which of the following would you recommend?
	Medium Outdated data in S3 S3	2 mins AWS	Solve
One of your friends, Zi Pong created a new app for their startup. They use Amazon S3 exclusively as a data store. The app works perfectly fine. When one of their users raises the frequency at which the app needs to refresh data, they file a bug. The issue is that sometimes they get outdated data when accessing objects in S3. The app logic is correct. What do you think the issue could be? A: App is reading objects from Amazon S3 using parallel object requests. B: App is updating records by writing new objects with unique keys. C: App is reading parts of objects from Amazon S3 using a range header. D: App is updating records by overwriting existing objects with the same keys.
	Medium Push Notifications Dynamic DB AWS Mobile Push	3 mins AWS	Solve
Flowlife is a tips iOS app that is running on AWS with ~10 million users in the US. Users can post tips about a particular place (restaurants, businesses etc) and other users can search for the tips in the app. Flowlife wants to implement location based alerts on their iOS app. Users will receive relevant tips in proximity to their location. For maximum user engagement and relevant tips, the tips must be in the low minute count. Which of the following solutions is cost effective?

	🧐 Question	🔧 Skill	💪 Difficulty	⌛ Time
	Data Microservices S3 SQS SNS	AWS	Medium	2 mins	Solve
Slapchat deployed a new data processing application to the market. The backend part of the application does two specific segments: - For every new data file submitted by the user, proprietary data cleanup logic is done - Once data cleanup is complete, proprietary data transformations are done After launching the application for few months, the metrics indicated that the clean up stage of the application is pretty quick while transformation stage takes longer time to complete. In the next phase, the application is being re-written as 2 microservices (’cleanup’ and ‘transformation’). The deployment strategy is to run both on ECS and scale independently. How should the services be integrated? A: ‘cleanup’ publishes data to SNS topic, ‘transformation’ subscribes to the SNS topic B: ‘cleanup’ sends data to S3 bucket, ‘transformation’ is invoked by S3 event notifications C: ‘cleanup’ sends data to SQS queue, ‘transformation’ processes messages from the queue D: ‘cleanup’ sends data to Kinesis Data Firehose, ‘transformation’ reads from the Kinesis Data Firehose
	Downtime and Workload EC2	AWS	Easy	2 mins	Solve
ChickTok is a dating app that runs on EC2 behind an ALB. The EC2 instances run in an EC2 Auto Scaling group across multiple AZ. On every Saturday night, the app becomes atleast 5 times slower. Upon investigation, it is found that the CPU utilization reaches 100% within a matter of seconds instead of being a gradual increment. This is happening due to a batch core dating algorithm update that happens on every Saturday 9PM. ChickTok wants a solution that - Tackles the extra workload - Avoids downtime Which of the following would you recommend?
	Outdated data in S3 S3	AWS	Medium	2 mins	Solve
One of your friends, Zi Pong created a new app for their startup. They use Amazon S3 exclusively as a data store. The app works perfectly fine. When one of their users raises the frequency at which the app needs to refresh data, they file a bug. The issue is that sometimes they get outdated data when accessing objects in S3. The app logic is correct. What do you think the issue could be? A: App is reading objects from Amazon S3 using parallel object requests. B: App is updating records by writing new objects with unique keys. C: App is reading parts of objects from Amazon S3 using a range header. D: App is updating records by overwriting existing objects with the same keys.
	Push Notifications Dynamic DB AWS Mobile Push	AWS	Medium	3 mins	Solve
Flowlife is a tips iOS app that is running on AWS with ~10 million users in the US. Users can post tips about a particular place (restaurants, businesses etc) and other users can search for the tips in the app. Flowlife wants to implement location based alerts on their iOS app. Users will receive relevant tips in proximity to their location. For maximum user engagement and relevant tips, the tips must be in the low minute count. Which of the following solutions is cost effective?

Reason #4

1200+ customers in 75 countries

Med Adaface var vi i stand til at optimere vores indledende screeningsproces med op til 75%, hvilket frigør dyrebar tid for både ansættelsesledere og vores talentindsamlingsteam!

Brandon Lee, Leder af mennesker, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Amazon Web Services (AWS) Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Amazon Web Services (AWS) Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

Reason #7

Detailed scorecards & comparative results

Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

Reason #9

Advanced Proctoring

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Hvordan tilpasses testen til Senior AWS -arkitekter?

Spørgsmålene fokuserer på avancerede emner til seniorarkitekter som:

Designe strategier til forbedring af pålideligheden af eksisterende cloud-systemer-afhjælpning af enkeltpunkter med fejl, der muliggør dataledningsreplikation, selvhelbredelse og elastiske funktioner.
Design af komplekse netværkssystemer: IP -adresseringsstrategi for VPCS, DNS -strategi, netværkstrafik og sikkerhed.
Brug af skaleringsdatabase med AWS-databaseforespørgsel og ydeevneoptimering, normalisering af datavællinger
dybdegående database-sammenligning: RDS, Aurora, Dynamodb, Neptune, Elasticache, Redshift, Elasticsearch, Athena
Analyse af big data med Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS og Aurora
AWS Integration & Messaging Services: SQS, SNS, Kinesis
AWS Security Best Practices: KMS, SSM Parameter Store, IAM Policies
AWS SDLC Services: CICD (Codecommit, Codebuild, Codepipeline, Codedeploy), Cloudformation, ECS, trinfunktioner, SWF, EMR, Lim, Opsworks, ElasticTranscoder, AWS Organisations, Workspaces, AppSync, Single Sign On (SSO)
EC2 til sysops: placeringsgrupper, nedlukningsadfærd, fejlfinding, AMI, CloudWatch Metrics
SSM - Systems Manager: Administrer EC2 i skala, automatisering, kørekommando, Secure Shell, Parameter Store
Høj tilgængelighed og skalerbarhed: ELB -belastningsbalancere (SysOps), Auto Scaling (SysOps), CloudWatch Metrics
EBS & EFS: Operationer, fejlfinding, CloudWatch Metrics, Raid

What roles can I use the Amazon Web Services (AWS) Test for?

AWS Developer
AWS Solutions Architect
AWS Solutions Associate
AWS Cloud Architect
AWS Cloud Engineer
Senior AWS Cloud Engineer
AWS DevOps Engineer
Senior DevOps Engineer
Cloud Solution Architect

What topics are covered in the AWS Online Assessment Test?

Amazon Elastic Compute Cloud (EC2)

Docker -containere og mikroservices

Amazon Elastic Container Service (ECS)

Amazon Simple Storage Service (S3)

Block vs File vs Object Storage

Amazon Elastic Block Store (EBS)

S3 -versionerings-, replikations- og livscyklusregler

DNS, elastisk belastningsbalancering og auto skalering

Serverløse tjenester og AWS Lambda -funktioner

Amazon Virtual Private Cloud (VPC)

Offentlige, private og elastiske IP -adresser

AWS Cloudformation

AWS Elastic Beanstalk

Amazon Relational Database Service (RDS)

AWS Identity and Access Management (IAM)

IAM -brugere, grupper, roller og politikker

Logning og revision - Amazon Cloudwatch -logfiler, CloudTrail, Flow Logs, ELB -logfiler og S3 -logfiler

Kryptering-AWS KMS, ACM, In-Transit / At-Rest

Detekterer og svar - Amazon Detective, Guardduty, Macie

Firewalls og DDoS Protection - AWS Waf & Shield

AWS godt arkiterede rammer

AWS -prisfundament

AWS Migration and Transfer Services

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De ansættelsesledere mente, at de gennem de tekniske spørgsmål, som de stillede under panelinterviewene, kunne fortælle, hvilke kandidater der havde bedre scoringer, og differentierede med dem, der ikke scorede så godt. De er meget tilfreds med kvaliteten af kandidater, der er på listen med Adaface -screeningen.

85%

Reduktion i screeningstid

Se den fulde casestudie

AWS Online Test FAQs

Kan jeg bruge testen til AWS Cloud -udøvere?

Ja. Testen tilpasses baseret på jobbeskrivelsen. For skyudøvere vil testen fokusere på følgende emner:

AWS Fundamental Services såsom Amazon EC2, Amazon Elastic Load Balancing (ELB), AWS Route 53
Konfiguration af Amazon S3 Bucket -politikker og deling af data mellem flere AWS -konti
Distribuer og administrer Docker -containerklynger på Amazon Elastic Container Services (ECS)
Opsætning af serverløs begivenhedsdrevet AWS Lambda-funktioner med Amazon Api Gateway og Amazon Kinesis Integrations
Geografisk overflødige databasetjenester med Amazon Relational Database Service (RDS)
Konfiguration af Amazon Virtual Private Clouds (VPC), undernet og ruteborde
AWS Cloud Security and Compliance Concepts
AWS Access Management Funktioner
Sammenligning af forskellige fakturerings- og prismodeller

Hvordan evaluerer AWS -udvikler Associates?

Testen evaluerer kandidater om udvikleremner:

Implementering af applikationer ved hjælp af elastisk beanstalk og AWS CI/CD -værktøjer
Oprettelse af serverløs API ved hjælp af AWS Lambda, API Gateway, Dynamodb & Cognito
Infrastruktur som kode ved hjælp af AWS Cloudformation
Implementering af meddelelses- og integrationsmønstre ved hjælp af AWS SQS, SNS & Kinesis
Advance CLI, SDK og IAM Security Best Practices in EC2
Overvågning, sporing og revision af mikroservices ved hjælp af CloudWatch, røntgenbillede og CloudTrail
Sikring af AWS Cloud ved hjælp af KMS, kryptering SDK, IAM -politikker & SSM

Hvordan ansætter du AWS DevOps -ingeniører?

ADAFACE tilpassede DevOps Engineers Test fokuserer på følgende emner:

SDL -automatisering, konfigurationsstyring og infrastruktur som kode - AWS Elastisk beanstalk, AWS Cloudformation, AWS Codebuild, AWS Codedeploy og AWS Codepipeline
Overvågning og logning (CloudTrail, Kinesis, CloudWatch)
Politikker og standarder Automation (SSM, Config, Inspector)
Automatiser udvikling/iscenesættelse/produktionsprocessen

Kan jeg evaluere specifikke AWS -tjenester som AWS Lambda og AWS Cloudformation?

Ja. Vi tilbyder tilpassede vurderinger med spørgsmål, der er fokuseret på specifikke AWS -undertjenester.

Kan jeg evaluere kodningsevner sammen med AWS?

Ja. Hvis din rolle kræver, at kandidaten har erfaring med praktisk programmering, kan vi tilpasse testen til at omfatte kodningsspørgsmål.

Kan jeg kombinere flere færdigheder i en brugerdefineret vurdering?

Ja absolut. Brugerdefinerede vurderinger er oprettet baseret på din jobbeskrivelse og vil omfatte spørgsmål om alle must-have-færdigheder, du angiver.

Har du nogen anti-cheating eller proctoring-funktioner på plads?

Vi har følgende anti-cheating-funktioner på plads:

Ikke-gåbare spørgsmål
IP Proctoring
Webproctoring
Webcam Proctoring
Detektion af plagiering
Sikker browser

Læs mere om Proctoring Features.

Hvordan fortolker jeg testresultater?

Den primære ting at huske på er, at en vurdering er et elimineringsværktøj, ikke et udvælgelsesværktøj. En færdighedsvurdering er optimeret for at hjælpe dig med at eliminere kandidater, der ikke er teknisk kvalificerede til rollen, den er ikke optimeret til at hjælpe dig med at finde den bedste kandidat til rollen. Så den ideelle måde at bruge en vurdering på er at beslutte en tærskelværdi (typisk 55%, vi hjælper dig med benchmark) og inviterer alle kandidater, der scorer over tærsklen for de næste interviewrunder.

Hvilken oplevelsesniveau kan jeg bruge denne test til?

Hver Adaface -vurdering tilpasses til din jobbeskrivelse/ ideel kandidatperson (vores emneeksperter vælger de rigtige spørgsmål til din vurdering fra vores bibliotek på 10000+ spørgsmål). Denne vurdering kan tilpasses til ethvert erfaringsniveau.

Får hver kandidat de samme spørgsmål?

Ja, det gør det meget lettere for dig at sammenligne kandidater. Valgmuligheder for MCQ -spørgsmål og rækkefølgen af spørgsmål randomiseres. Vi har anti-cheating/proctoring funktioner på plads. I vores virksomhedsplan har vi også muligheden for at oprette flere versioner af den samme vurdering med spørgsmål om lignende vanskelighedsniveauer.