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The AWS-Solutions-Architect-Professional Certification Exam consists of multiple-choice and multiple-response questions that assess the candidate’s ability to design, deploy, and manage AWS services and applications. AWS-Solutions-Architect-Professional exam covers a wide range of topics, including advanced networking, hybrid architectures, security and compliance, and cost optimization. Candidates are expected to have a deep understanding of AWS services and features, as well as the ability to apply best practices and design principles to real-world scenarios.

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q154-Q159):

NEW QUESTION # 154
A Solutions Architect has been asked to look at a company's Amazon Redshift cluster, which has quickly become an integral part of its technology and supports key business process. The Solutions Architect is to increase the reliability and availability of the cluster and provide options to ensure that if an issue arises, the cluster can either operate or be restored within four hours.
Which of the following solution options BEST addresses the business need in the most cost- effective manner?

A. Ensure that the Amazon Redshift cluster creation has been template using AWS CloudFormation so it can easily be launched in another Availability Zone and data populated from the automated Redshift back-ups stored in Amazon S3.
B. Create two identical Amazon Redshift clusters in different regions (one as the primary, one as the secondary). Use Amazon S3 cross-region replication from the primary to secondary). Use Amazon S3 cross-region replication from the primary to secondary region, which triggers an AWS Lambda function to populate the cluster in the secondary region.
C. Use Amazon Kinesis Data Firehose to collect the data ahead of ingestion into Amazon Redshift and create clusters using AWS CloudFormation in another region and stream the data to both clusters.
D. Ensure that the Amazon Redshift cluster has been set up to make use of Auto Scaling groups with the nodes in the cluster spread across multiple Availability Zones.

Answer: A

Explanation:
https://aws.amazon.com/redshift/faqs/?nc1=h_ls
Q: What happens to my data warehouse cluster availability and data durability if my data warehouse cluster's Availability Zone (AZ) has an outage?
If your Amazon Redshift data warehouse cluster's Availability Zone becomes unavailable, you will not be able to use your cluster until power and network access to the AZ are restored. Your data warehouse cluster's data is preserved so you can start using your Amazon Redshift data warehouse as soon as the AZ becomes available again. In addition, you can also choose to restore any existing snapshots to a new AZ in the same Region. Amazon Redshift will restore your most frequently accessed data first so you can resume queries as quickly as possible.

NEW QUESTION # 155
A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.
The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.
How should the company deploy the ML model to meet these requirements?

A. Order an AWS Snowball device. Deploy a SageMaker endpoint the ML model and an Amazon EC2 instance on the Snowball device. Take still images from the cameras. Run inference from the EC2 instance. Configure the instance to call the local API when a defect is detected.
B. Deploy Amazon Monitron devices on each IP camera. Deploy an Amazon Monitron Gateway on premises. Deploy the ML model to the Amazon Monitron devices. Use Amazon Monitron health state alarms to call the local API from an AWS Lambda function when a defect is detected.
C. Set up an Amazon Kinesis video stream from each IP camera to AWS. Use Amazon EC2 instances to take still images of the streams. Upload the images to an Amazon S3 bucket. Deploy a SageMaker endpoint with the ML model. Invoke an AWS Lambda function to call the inference endpoint when new images are uploaded. Configure the Lambda function to call the local API when a defect is detected.
D. Deploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server. Create a Greengrass component to take still images from the cameras and run inference. Configure the component to call the local API when a defect is detected.

Answer: D

Explanation:
Explanation
The company should use AWS IoT Greengrass to deploy the ML model to the local server and provide local feedback to the factory workers. AWS IoT Greengrass is a service that extends AWS cloud capabilities to local devices, allowing them to collect and analyze data closer to the source of information, react autonomously to local events, and communicate securely with each other on local networks1. AWS IoT Greengrass also supports ML inference at the edge, enabling devices to run ML models locally without requiring internet connectivity2.
The other options are not correct because:
Setting up an Amazon Kinesis video stream from each IP camera to AWS would not work if the factory's internet connectivity is down. It would also incur unnecessary costs and latency to stream video data to the cloud and back.
Ordering an AWS Snowball device would not be a scalable or cost-effective solution for deploying the ML model. AWS Snowball is a service that provides physical devices for data transfer and edge computing, but it is not designed for continuous operation or frequent updates3.
Deploying Amazon Monitron devices on each IP camera would not work because Amazon Monitron is a service that monitors the condition and performance of industrial equipment using sensors and machine learning, not cameras4.
References:
https://aws.amazon.com/greengrass/
https://docs.aws.amazon.com/greengrass/v2/developerguide/use-machine-learning-inference.html
https://aws.amazon.com/snowball/
https://aws.amazon.com/monitron/

NEW QUESTION # 156
In the context of policies and permissions in AWS IAM, the Condition element is ____________.

A. crucial while writing the IAM policies
B. always set to null
C. an optional element
D. a mandatory element

Answer: C

Explanation:
Explanation
The Condition element (or Condition block) lets you specify conditions for when a policy is in effect. The Condition element is optional.
http://docs.aws.amazon.com/IAM/latest/UserGuide/AccessPolicyLanguage_ElementDescriptions.html

NEW QUESTION # 157
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to remove to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?

A. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.
B. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper Bl tool that runs on Amazon EC2 to visualize the data from Amazon S3.
C. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze EC2 to analyze the files in Amazon S3. Then use a fast in-memory BL tool running on Amazon EC2 to visualize the data.
D. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. The use the Amazon QuickSight to connect to Amazon EMR and perform the visualization.

Answer: A

Explanation:
ABD: Not minimum effort.
C: QuickSight can connect to Athena, S3, text files, Excel, Salesforce, Amazon Redshift, Amazon RDS, Amazon EC2, or other database data sources. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there's no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html
https://aws.amazon.com/athena/

NEW QUESTION # 158
An AWS Solutions Architect has noticed that their company is using almost exclusively EBS General Purpose SSD (gp2) volume types for their EBS volumes. They are considering modifying the type of some of these volumes, but it is important that performance is not affected.
Which of the following actions could the Solutions Architect consider? (Select TWO)

A. A 50GB gp2 root volume can be modified to an EBS Provisioned IOPS SSD (io1) without stopping the instance.
B. A 1TB gp2 volume that is attached to an instance as a non-root volume can be modified to a Throughput Optimized HDD (st1) volume without stopping the instance or detaching the volume.
C. A gp2 volume that is attached to an instance as a root volume needs can be modified to a Throughput Optimized HDD (st1) volume.
D. A 1GB gp2 volume that is attached to an instance as a non-root volume can be modified to a Cold HDD (sc1) volume.

Answer: A,B

NEW QUESTION # 159
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Exam Dumps AWS-Solutions-Architect-Professional Free, Exam AWS-Solutions-Architect-Professional Torrent

Valid AWS-Solutions-Architect-Professional Preparation Materials and AWS-Solutions-Architect-Professional Guide Torrent: AWS Certified Solutions Architect - Professional - ExamDiscuss

Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q154-Q159):

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