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37 Cards in this Set
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John is working a company and he has been given access todata with fixed schema and he is tasked to run SQL queries andtransactions on that data. What is the most suitable data storefor this kind of need?
QuickSight DocumentDB DynamoDB RDS |
RDS |
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Which amazon service helps you store raw data collected froma website traffic without having to structure it first? AWS datalake AWS Data Pipeline AWS Kinesis AWS REDSHIFT |
AWS datalake |
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Your company is using RedShift as its data warehouse. You aretasked to run some analytics and queries in the files, which oneof the following would you choose? QuickShift Apache Spark Redshift Spectrum Athena |
Redshift Spectrum |
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You are working on an object detection project and your teamhas collected many images to train an artificial neural network.You are tasked with labeling the images. Which of the followingAWS service can help you with this? Data Labeling Sagemaker Athena RDS Sagemaker Ground Truth |
Sagemaker Ground Truth |
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You have to use XML file containing image information in yourproject in AWS. What is the datatype of this data? Structured data Semi-structured data Unstructured data Relational Structured data |
Semi-structured data |
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You have collected 10000 images in to train your imageclassifier. What is the type of this data? Structured data Semi-structured data Unstructured data Relational Structured data |
Unstructured data |
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The startup you are working on wants to store the data in anon-relational database in key-value pair as their data isunstructured and it has no data schema. Which AWS service isthe best match for this criteria? AWS RDS DynamoDb DocumentDb AWS DMS |
AWS RDS |
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Jack has uploaded his PDF and JPEG files to his S3 bucket. Hewants to access his JPEG files only. What is the most effectiveway to download the JPEG files? He can’t use S3 for this type of task He can use AWS QUERY to get the JPEG files He can manually select the required files one by one anddownload He can use S3 SELECT to download the JPEG files |
He can use S3 SELECT to download the JPEG files |
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Which amazon service helps you store both structured andunstructured data collected from your game applicationwithout any processing? AWS datalake AWS Data Pipeline AWS Kinesis AWS REDSHIFT |
AWS datalake |
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You want to analyze the unstructured data in an S3 data lake.Which AWS service can be used? QuickShift Apache Spark Redshift Spectrum Streamer |
Redshift Spectrum |
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OLTP Database |
Relational store. Typically structured with a defined, relational schema. Row optimized for transactions not analytics. AWS: RDS, Aurora |
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Data Warehouse |
Exists on top of other databases Used for business intelligence. Creates a layer optimized to perform data analytics.Schema is done on import. AWS: Redshift |
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Data Lake |
A data lake is a centralized repository for structured and unstructured data storage. Store raw data as is without any structure (schema). No need to perform ETL or transformation jobs on it. Store arbitrary data types: machine learning models artifacts, realtime data, and analytics outputs in data lakes. Processing could be done on export so schema is defined on read. S3 AWS data lake reference solution |
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S3 |
Amazon Simple Storage Service (Amazon S3) Store and protect any amount and kind of data. Durable to 99.999999999% (11 9’s) |
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RDS Aurora |
Fully managed by Amazon Relational Database (RDS) service. Transactional style database. MySQL and PostgreSQL-compatible No administration tasks such as hardware provisioning, creating backups (auto s3 backups) and database setup Replication across three Availability Zones. Many engines available to create database. |
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Redshift |
Data warehouse for fast business analytics. Columnar storageand data compression. Queries are run against data stored in redshift storage or against data stored inS3. |
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Redshift Spectrum |
Allows running SQL queries on data storedin Amazon S3 buckets directly.
Does not require transferring datafrom S3 to a database. Works well with unstructured S3 data lakes. versus Athena? |
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DynamoDB
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Fully managed NoSQL key-value and documentdatabase.
Scalable with minimum latency: |
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You are building an image classifier using AWS Sagemaker andyou want to upload the data for training in an S3 bucket. Youwant to access the data frequently for training and evaluationpurposes. What storage class would you choose? S3 Intelligent-Tiering S3 Standard-Infrequent Access S3 Standard Amazon S3 Glacier |
S3 Standard |
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What are the policies that can be created using Object Tags forthe S3 objects? (select 2) IAM policies S3 LifeCycle Policies Restricted Policies Associated Tags |
IAM policies S3 LifeCycle Policies |
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AWS Machine Learning_2 You want to store the backup of your laptop securely and youwant to access the backup only when you wish to reboot thelaptop. What storage class would you prefer for this purpose?
S3 Standard S3 Intelligent-Tiering S3 Standard-Infrequent Access Amazon S3 Glacier |
S3 Standard-Infrequent Access |
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Jim is working on a project and wants to store all his data in hisS3 bucket but he wishes to keep his files in the bucket only fora year and after that he wants the S3 bucket to be deletedautomatically. What is the best possible option to achieve this? Using Expiration role from Object Tags Using Delete Action from lifecycle configuration Using Delete tag available in S3 Using Expiration Action from lifecycle configuration |
Using Expiration Action from lifecycle configuration |
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John stores all of his work-related documents on S3. Herequires the data that he has uploaded in the past 15 days. Datawhich he has uploaded before are required only once in a year.What approach will help him lower the billing cost on S3?
He must manually choose the document from the bucket He should use Transfer tags from Object tags to move the documents based on duration requirements He could use Object Lifecycle Management feature per bucketto transfer the documents between S3 storage classes based onhis duration requirements He should use two different buckets to maintain frequentlyaccessed documents and infrequently accessed documents |
He could use Object Lifecycle Management feature per bucket to transfer the documents between S3 storage classes based on his duration requirements |
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You want to build a ML model in Sagemaker. You want to makesure that the sensitive data being used for training is secured.Which type of encryptions will help you achieve this? (select 2) SSE-S3 AWS SE AWS SSD AWS KMS |
SSE-S3, AWS KMS |
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SSE-S3 |
Server-side encryption protects data at rest. Amazon S3 encrypts each object with a unique key and the key itself with a master key that it rotates regularly.
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Since your model is being trained on very sensitive data, youhave enabled inter-container traffic encryption. How will thisaffect the training? Increase in training time when using distributed deep learningalgorithms Increase in training accuracy when using distributed deeplearning algorithms Decrease in training time when using distributed deep learningalgorithms Decrease in training accuracy when using distributed deeplearning algorithms |
Increase in training time when using distributed deep learning algorithms |
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AWS Machine Learning_2 You have created a model using XGBoost algorithm and it hasbeen running in production. You want to check the statisticsreported by the inference algorithm. How can you check that? Cloudtrail Logs CloudWatch Events Cloudtrail Events CloudWatch Logs |
CloudWatch Logs |
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You are training the machine learning model that you builtusing Sagemaker. The model started throwing errors in themiddle of the training. Which of the following tools can helpwith troubleshooting this issue? AWS Logs CloudWatch CloudSecurity AWS Monitor |
CloudWatch |
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You want to improve the security and reduce the egress costsfor your S3. How can you achieve this? Use VPC endpoint Use inference endpoint Use IAM polices to modify these Use Cloudtrail |
Use VPC endpoint |
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S3 Method to categorize objects? |
Object Tags (key value pairs). Example object tag: Project = Machinelearning, Classification = confidential, PHI = True The maximum number of tags per object is 10. Use cases: Granting or denying permission. Managing object lifecycle by creating a lifecycle rule basedon associated tags. Performing analytics. |
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Provide an example of data partitioning in S3 |
s3://bucket/data/year/month/day/hour/photo1.csv s3://bucket/data/product/photo1.csv |
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Benefits of S3 data partitioning |
Can reduce the cost required forscanning for example when querying with Amazon Athena. |
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S3 Storage Tiers |
S3 Standard: works well with storage that is general purpose and frequently accessed S3 Intelligent-Tiering: works well with data that has varying access patterns S3 Standard-Infrequent Access (Standard-IA): for long-lived but less frequently accessed data S3 One Zone-Infrequent Access (One Zone-IA): for long-lived, but less frequently accessed data Amazon S3 Glacier (S3 Glacier) and Amazon S3 Glacier Deep Archive (S3 Glacier Deep Archive): works well for long-term archived data. |
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S3 Lifecycles |
Transition actions: policy that governs when an object transitions from one storage class to another. transition object from STANDARD_IA storage class 30 days creation Transition objects to the GLACIER storage class after 1 year. Expiration actions: policy that governs when objects expire (deleted by S3). |
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S3 Lifecycle Configuration |
Lifecycles are managed via a lifecycle configuration file (XML file). XML files consists of rules/polices that S3 can apply to objects. For each bucket, Amazon S3 keeps the configuration file attached to it. |
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SSE-KMS |
Server-Side Encryption with Customer Master Keys (CMKs) Stored in AWS Key Management Service (SSE-KMS)
Similar to SSE-S3, but with some additional benefits and charges. There are separate permissions for the use of a CMK that provides added protection against unauthorized access of your objects in Amazon S3. SSE-KMS also provides you with an audit trail that shows when your CMK was used and by whom. Can create and manage customer managed CMKs or use AWS managed CMKs that are unique to you, your service, and your Region. |
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S3 Encryption Options |
Se SSE-S3 - SSE-KMS - SSE-C - Server-Side Encryption with Customer-Provided Keys (SSE-C) |
