Which AWS services should a company use to read and write data that changes frequently? (Choose two.)
Which AWS services should a company use to read and write data that changes frequently? (Choose two.)
Amazon RDS is a managed relational database service that supports various database engines like MySQL, PostgreSQL, Oracle, and SQL Server. It is designed for applications requiring frequent updates to the data and provides high availability, scalability, and performance. Amazon Elastic File System (EFS) is a scalable file storage service that allows multiple Amazon EC2 instances to access the same data concurrently. EFS is suitable for applications needing frequent read and write operations, offering low latency and high throughput. Both services are designed to handle frequently changing data effectively.
The correct answers are: B. Amazon RDS and D. Amazon Redshift. Amazon S3 Glacier (option A) is a storage service for archiving data that is infrequently accessed and for which retrieval times of several hours are acceptable. It is not suitable for data that changes frequently. AWS Snowball (option C) is a data transfer service that enables the transfer of large amounts of data into and out of AWS using physical devices. It is not designed for reading and writing data that changes frequently. Amazon Elastic File System (Amazon EFS) (option E) is a fully managed file storage service for use with Amazon EC2 instances. It is designed for storing and sharing files, and is not suitable for storing data that changes frequently.
EFS is a block storage like a hard drive and capable of frequent read/write in to the volume.
EBS is block storage
EFS is File system not block
EBS is block storage
why change data frequently in data warehouse?
EFS is File system not block
Should be B & E. Amazon Redshift can be primarily classified under "Big Data as a Service" instead of "Cloud Storage".
yes, but how is that relevant to this question? Big Data, doesn't mean data that changes often...
A. Amazon S3 Glacier is for long-term data archival and is designed for data that is infrequently accessed. It is not ideal for frequently changing data. C. AWS Snowball is a physical data transport solution for large-scale data transfer and migration. It's not for reading and writing frequently changing data. D. Amazon Redshift is a data warehousing service, which is optimized for querying and analyzing large datasets. It's not typically used for frequently changing data.
It's important to note that Amazon Redshift is a **data warehouse** which means it is not meant to change frequently.
its EFS and RDS
Ok, please explain why! Tks
I took the AWS Cloud Practitioner Essential course on the AWS learning platform. Over there, they taught me that EFS is for 'reading and writing simultaneously'
For reading and writing data that changes frequently, a company should use Amazon RDS (B) and Amazon Elastic File System (Amazon EFS) (E). Amazon RDS is a managed relational database service that supports multiple database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. It is designed for applications that require frequent updates to the data. Amazon EFS is a fully managed file system that supports the NFSv4 protocol. It is designed for applications that require shared access to files and require frequent updates to the data.
B. Amazon RDS (Relational Database Service): Amazon RDS is a fully managed relational database service that provides scalable and reliable database solutions. It supports popular database engines like MySQL, PostgreSQL, Oracle, and SQL Server. You can perform frequent read and write operations on the data stored in an Amazon RDS database. E. Amazon Elastic File System (Amazon EFS): Amazon EFS is a scalable file storage service that provides shared file storage for multiple Amazon EC2 instances. It is suitable for use cases where multiple instances need concurrent read and write access to the same data. Amazon EFS allows you to handle data that changes frequently and enables multiple users to access and modify the data simultaneously. Therefore, the correct choices are B. Amazon RDS and E. Amazon Elastic File System (Amazon EFS).
Amazon RDS is a fully-managed relational database service that offers a wide range of database engines, including MySQL, PostgreSQL, Oracle, and SQL Server. RDS is a good choice for read and write data that changes frequently because it provides high availability, scalability, and performance. Amazon EFS is a fully-managed file system that provides a simple, scalable, and secure way to share files between Amazon EC2 instances. EFS is a good choice for read and write data that changes frequently because it provides low latency and high throughput.
Redshift is a warehouse, the key word is "date is frequently used" Redshift is wrong
B and E are correct. Other options are archival.
B/D are correct. Amazon DynamoDB is a fully managed NoSQL database service that is designed for high scale and performance. DynamoDB allows you to store and retrieve data with very low latency, making it well-suited for applications that require fast access to data. Amazon Redshift is a fast, fully managed data warehouse service that allows you to efficiently analyze large amounts of data using SQL and your existing business intelligence tools. Redshift is designed to handle data that changes frequently and can be used to store and analyze data in near real-time. E is incorrect as EFS is a fully managed file storage service for use with Amazon EC2 instances. It is designed for storing and sharing files, and is not suitable for storing data that changes frequently.
The hint is data is used frequently
Option A is incorrect because Amazon S3 Glacier is an archival storage service designed for data that is infrequently accessed and for which retrieval times of several hours are acceptable. Option C is incorrect because AWS Snowball is a data transfer service that is designed to transfer large amounts of data into and out of AWS. Option D is incorrect because Amazon Redshift is a data warehousing service that is designed for large-scale data analytics, and it may not be the best choice for frequently changing data.
B. Amazon RDS: Amazon RDS is a fully managed relational database service that provides scalable, high-performance, and highly available databases. It supports several popular database engines such as MySQL, PostgreSQL, Oracle, and SQL Server, and is optimized for transactional workloads that require frequent reads and writes. E. Amazon Elastic File System (Amazon EFS): Amazon EFS is a fully managed, scalable, and highly available file storage service that provides simple and scalable file storage for use with Amazon EC2 instances. It is designed for workloads that require frequent reads and writes and provides low-latency performance for data-intensive applications.
B. Amazon RDS E. Amazon Elastic File System (Amazon EFS)
EFS & RDS(OLTP)--- due to frequently usable services and Redshift is wrong because it is warehouse(OLAP).
RDS and EFS are correct. Redshift is data ware housing DB where it should have a lots of data. For frequent reads and writes there will be more latency
Answer is B && D.
RedShift is for log analytics, the response should be RDS and EFS
Correct answer is B and E. For those saying B and D, please look up how a data warehouse works.
I chose D because I looked up how a data warehouse works. "A data warehouse is specially designed for data analytics, which involves reading large amounts of data to understand relationships and trends across the data. A database is used to capture and store data, such as recording details of a transaction." That sounds like frequent read/write to me. -https://aws.amazon.com/data-warehouse/
Data warehouse is write once (batch) - reads frequently. Frequent data read/write is OLTP
Data warehouse is write once (batch) - reads frequently. Frequent data read/write is OLTP
Vote for B & E
Redshift is a datawarehouse and cannot be the right answer. correct answer is B and E
It says that, but also this: "Amazon Redshift is a fully managed service and offers both provisioned and serverless options, making it easy for you to run and scale analytics without having to manage your data warehouse" REF: https://aws.amazon.com/redshift/faqs/?nc1=h_ls
The reason E isn't an option is because the question is asking for services and AWS doesn't consider EFS a service. B. Relation Database Service (RDS) is considered a Platform as a Service (PaaS). D. Redshift is AWS's data warehouse service. Data warehouses can definitely be used for frequent read/write activity. https://aws.amazon.com/data-warehouse/
I agree also that this should not E - Amazon Elastic File System (Amazon EFS) is a simple, serverless, set-and-forget, elastic file system. There is no minimum fee or setup charge. You pay only for the storage you use, for read and write access to data stored in INFREQUENT access storage classes, and for any provisioned throughput. BD - I guess.
EFS is not just for infrequent access. Like S3 it also has different storage classes https://docs.aws.amazon.com/efs/latest/ug/storage-classes.html
EFS is not just for infrequent access. Like S3 it also has different storage classes https://docs.aws.amazon.com/efs/latest/ug/storage-classes.html
I see in FAQ showing that EFS is a service btw > Amazon EFS is a file storage service for use with Amazon compute (EC2, containers, serverless) and on-premises servers https://aws.amazon.com/efs/faq/?nc1=h_ls
Yeah, but also says this at the beginning: "Amazon Elastic File System (Amazon EFS) is a simple, serverless, set-and-forget elastic file system that makes it easy to set up, scale, and cost-optimize file storage in AWS"
Yeah, but also says this at the beginning: "Amazon Elastic File System (Amazon EFS) is a simple, serverless, set-and-forget elastic file system that makes it easy to set up, scale, and cost-optimize file storage in AWS"
The reason why E is not an option is because EFS works with infrequently accessed files also https://aws.amazon.com/efs/features/infrequent-access/?pg=ln&sec=be
Try reading EFS storage classes. It is not just for infrequently accessed files. https://docs.aws.amazon.com/efs/latest/ug/storage-classes.html
ashif says will ask Manish the DJ and will clear the doubt and ashif says the answer and a and e
CorrecT ANSWER B & E
Amazon RDS Amazon Redshift https://aws.amazon.com/solutions/case-studies/nasdaq-case-study/?pg=ln&sec=c
B. Amazon RDS: Amazon RDS is a managed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud. RDS provides scalable and highly available storage for relational data that changes frequently. E. Amazon Elastic File System (Amazon EFS): Amazon EFS is a fully managed, scalable, and highly available file storage service that can be accessed by multiple Amazon EC2 instances and on-premises servers at the same time. EFS provides a common data source that can be used to share data across multiple instances or servers, making it ideal for scenarios where data changes frequently.
The two AWS services that a company should use to read and write data that changes frequently are: B. Amazon RDS: Amazon RDS is a managed relational database service that provides a scalable and highly available database platform for applications. It supports various popular database engines such as MySQL, PostgreSQL, Oracle, and SQL Server, and allows users to easily create, operate, and scale a relational database in the cloud. Amazon RDS is well-suited for applications that require frequent read and write operations to the database. E. Amazon Elastic File System (Amazon EFS): Amazon EFS is a fully managed, scalable, and highly available file storage service for use with Amazon EC2 instances. It provides a simple, scalable, and reliable way to share data across multiple EC2 instances, and supports multiple file systems, file locking, and file permissions. Amazon EFS is well-suited for applications that require shared access to frequently changing data, such as content management systems, web serving, and Big Data applications.
B&E, Redshift is DW, so it is more likely to use as read rather than write.
B. Amazon RDS E. Amazon Elastic File System (Amazon EFS).
B&E. (Redshift is a DW, hence more likely to be used for read rather than write)
Option B and E
Redshift is a data warehouse
Ans should be RDS and EFS
Redshift is a data warehouse service.
B and E as redshift is warehouse
How is a data warehouse architected? A data warehouse architecture is made up of tiers. The top tier is the front-end client that presents results through reporting, analysis, and data mining tools. The middle tier consists of the analytics engine that is used to access and analyze the data. The bottom tier of the architecture is the database server, where data is loaded and stored. Data is stored in two different types of ways: 1) data that is accessed frequently is stored in very fast storage (like SSD drives) and 2) data that is infrequently accessed is stored in a cheap object store, like Amazon S3. The data warehouse will automatically make sure that frequently accessed data is moved into the “fast” storage so query speed is optimized.
Answer is BE
Vote for B and D
b&d, e is wrong
should be BE, because Redshift is for Dataware-house with no real-time queries
B AND D: a company use to read and write "DATA"that changes frequently?
BE is the answer.
Correct Answer should be B& E
I'd rather vote for D (Redshift) than E (EFS). Redshift offers "real time [...] insights'. In contrast, EFS is not described with phrases such as 'real time' of 'data changing frequently'.
B & D. As Redshift has a charge for reading and writing data every time.
I'm going with B & E. RDS supports frequent data read/write. EFS is a block storage and better suited for frequent data read/write [compared to object storage].
Another question that you can skip and go to next question. Question is not clear enough and options have more than multiple answers that you can select
BD is correct answer, since Redshift is "Best price-performance for cloud data warehousing" (from AWS)
why change data frequently in data warehouse?
Amazon RDS and Amazon EFS would be the Answer
The AWS services that a company should use to read and write data that changes frequently are: B. Amazon RDS: Amazon Relational Database Service (RDS) E. Amazon Elastic File System (Amazon EFS)
BE, data warehousing data does no change at all
BD es lo correcto.
Anticipate: When it comes to data it means database solutions
A and E Not D because Amazon Redshift is a fully managed data warehouse service, and while it supports data analytics queries well, it is not optimized for frequent read and write operations on individual records or rows. It is more suited for analytical processing on large datasets.
AWS S3 glaciers are literally for storing archived data....
Amazon RDS and Amazon Elastic File System (Amazon EFS)
B& E Amazon RDS is a managed relational database service that is designed for transactional workloads where data is frequently read and written. Amazon EFS is a fully managed network file system that provides scalable storage for applications that require frequent read and write access to data.