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Amazon SAA-C03 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified Solutions Architect – Associate (SAA-C03)
Exam Number:SAA-C03
Passing Score:720 (scaled score out of 1000)
Certificate Validity Period:3 years
Exam Format:Multiple response, Multiple choice
Real Exam Qty:65 (approximate; multiple choice and multiple response)
Exam Price:150 USD
Exam Duration:130 minutes
Available Languages:Japanese, Korean, Simplified Chinese, English
Related Certifications:AWS Certified SysOps Administrator – Associate
AWS Certified Developer – Associate
AWS Certified Solutions Architect – Professional
Recommended Training:AWS Solutions Architect Learning Path
AWS Skill Builder
Exam Registration:AWS Certification Portal
Pearson VUE Registration
Sample Questions:Amazon SAA-C03 Sample Questions
Exam Way:Online proctored or test center exam via Pearson VUE
Pre Condition:No formal prerequisites. AWS recommends at least 1 year of hands-on experience designing distributed systems on AWS.
Official Syllabus URL:https://aws.amazon.com/certification/certified-solutions-architect-associate/

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is designed for professionals who want to validate their skills and knowledge in designing and deploying scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Associate certification is a valuable asset for IT professionals who want to demonstrate their expertise in cloud computing and AWS technologies.

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q433-Q438):

NEW QUESTION # 433
[Design Secure Architectures]
A company is storing 700 terabytes of data on a large network-attached storage (NAS) system in fts corporate data center. The company has a hybrid environment with a 10 Gbps AWS Direct Connect connection.
After an audit from a regulator, the company has 90 days to move the data to the cloud. The company needs to move the data efficiently and without disruption. The company still needs to be able to access and update the data during the transfer window.
Which solution will meet these requirements?

Answer: B

Explanation:
This answer is correct because it meets the requirements of moving the data efficiently and without disruption, and still being able to access and update the data during the transfer window. AWS DataSync is an online data movement and discovery service that simplifies and accelerates data migrations to AWS and helps you move data quickly and securely between on-premises storage, edge locations, other clouds, and AWS Storage. You can create an AWS DataSync agent in the corporate data center to connect your NAS system to AWS over the Direct Connect connection. You can create a data transfer task to specify the source location, destination location, and options for transferring the data. You can start the transfer to an Amazon S3 bucketand monitor the progress of the task. DataSync automatically encrypts data in transit and verifies data integrity during transfer. DataSync also supports incremental transfers, which means that only files that have changed since the last transfer are copied. This way, you can ensure that your data is synchronized between your NAS system and S3 bucket, and you can access and update the data during the transfer window.
Reference:
https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html
https://docs.aws.amazon.com/datasync/latest/userguide/how-datasync-works.html


NEW QUESTION # 434
A research company uses on-premises devices to generate data for analysis. The company wants to use the AWS Cloud to analyze the data. The devices generate .csv files and support writing the data to SMB file share.
Company analysts must be able to use SQL commands to query the data. The analysts will run queries periodically throughout the day.
Which combination of steps will meet these requirements MOST cost-effectively? (Select THREE.)

Answer: A,C,E

Explanation:
To meet the requirements of the use case in a cost-effective way, the following steps are recommended:
Deploy an AWS Storage Gateway on premises in Amazon S3 File Gateway mode. This will allow the company to write the .csv files generated by the devices to an SMB file share, which will be stored as objects in Amazon S3 buckets. AWS Storage Gateway is a hybrid cloud storage service that integrates on-premises environments with AWS storage. Amazon S3 File Gateway mode provides a seamless way to connect to Amazon S3 and access a virtually unlimited amount of cloud storage1.
Set up an AWS Glue crawler to create a table based on the data that is in Amazon S3. This will enable the company to use standard SQL to query the data stored in Amazon S3 buckets. AWS Glue is a serverless data integration service that simplifies data preparation and analysis. AWS Glue crawlers can automatically discover and classify data from various sources, and create metadata tables in the AWS Glue Data Catalog2. The Data Catalog is a central repository that stores information about data sources and how to access them3.
Set up Amazon Athena to query the data that is in Amazon S3. This will provide the company analysts with a serverless and interactive query service that can analyze data directly in Amazon S3 using standard SQL. Amazon Athena is integrated with the AWS Glue Data Catalog, so users can easily point Athena at the data source tables defined by the crawlers. Amazon Athena charges only for the queries that are run, and offers a pay-per-query pricing model, which makes it a cost-effective option for periodic queries4.
The other options are not correct because they are either not cost-effective or not suitable for the use case.
Deploying an AWS Storage Gateway on premises in Amazon FSx File Gateway mode is not correct because this mode provides low-latency access to fully managed Windows file shares in AWS, which is not required for the use case. Setting up an Amazon EMR cluster with EMR File System (EMRFS) to query the data that is in Amazon S3 is not correct because this option involves setting up and managing a cluster of EC2 instances, which adds complexity and cost to the solution. Setting up an Amazon Redshift cluster to query the data that is in Amazon S3 is not correct because this option also involves provisioning and managing a cluster of nodes, which adds overhead and cost to the solution.
References:
What is AWS Storage Gateway?
What is AWS Glue?
AWS Glue Data Catalog
What is Amazon Athena?


NEW QUESTION # 435
A weather forecasting company collects temperature readings from various sensors on a continuous basis. An existing data ingestion process collects the readings and aggregates the readings into larger Apache Parquet files. Then the process encrypts the files by using client-side encryption with KMS managed keys (CSE- KMS). Finally, the process writes the files to an Amazon S3 bucket with separate prefixes for each calendar day.
The company wants to run occasional SQL queries on the data to take sample moving averages for a specific calendar day.
Which solution will meet these requirements MOST cost-effectively?

Answer: D

Explanation:
Amazon Athena is a serverless query service that allows you to run SQL queries directly on data stored in Amazon S3 without the need for a data warehouse. It is cost-effective because you only pay for the queries you run, and it can handle Apache Parquet files efficiently. Additionally, Athena integrates with KMS, making it suitable for querying encrypted data.
Key AWS features:
* Cost-Effective: Athena charges only for the data scanned by the queries, making it a more cost- effective solution compared to Redshift or EMR for occasional queries.
* Direct S3 Querying: Athena supports querying data directly in S3, including Parquet files, without needing to move the data.
* AWS Documentation: Athena's compatibility with encrypted Parquet files in S3 makes it the ideal choice for this scenario, reducing both cost and complexity.


NEW QUESTION # 436
A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth.
Which solution will meet these requirements?

Answer: C


NEW QUESTION # 437
A company uses Amazon EC2 instances spread across two Availability Zones to provide large and small maps to customers. The large maps do not change. The company updates the small maps by adding small metadata files each day. Customers download the large maps once but download the smaller maps frequently. Several Amazon EBS volumes containing replicated data are spread between the Availability Zones. Which solutions will store the map data MOST cost- effectively? (Select TWO.)

Answer: C,D

Explanation:
Amazon EFS provides a regional, shared file system that EC2 instances in multiple Availability Zones can access concurrently. An EFS lifecycle policy can move files that have not been accessed recently to the lower-cost EFS Infrequent Access storage class, eliminating duplicated EBS copies while retaining file-system semantics. Amazon S3 is another cost-effective solution for immutable map objects. The application can retrieve the objects directly, and an S3 Lifecycle rule can transition older, infrequently accessed maps to S3 Standard-IA. EBS volumes are Availability Zone resources and are not a general-purpose shared cross-AZ file system. FSx for Lustre is designed primarily for high- performance computing workloads, while FSx for OpenZFS would provide features and performance beyond the stated static-content requirement. Therefore, EFS and S3 are the two appropriate managed storage options.


NEW QUESTION # 438
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