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Die AWS Certified Solutions Architect-Associate (SAA-C02) -Prüfung, auch als Amazon AWS-Solutions-Architect-Associate-Prüfung bekannt, ist eine Zertifizierungsprüfung für IT-Fachleute, die ihre Fähigkeiten beim Entwerfen und Bereitstellen von Skalierbar und hoch verfügbaren Bereitstellen nachweisen möchten Systeme auf Amazon Web Services (AWS) -Plattform. Diese Prüfung richtet sich an Personen, die mindestens ein Jahr Erfahrung in der Gestaltung und Bereitstellung von skalierbaren, hoch verfügbaren und fehlertoleranten Systemen auf AWS haben. Die Prüfung testet das Wissen des Kandidaten über verschiedene AWS -Dienste, -architekturen und Best Practices für den Aufbau sicherer und zuverlässiger Anwendungen auf der AWS -Plattform.
Die AWS SAA-C02 Prüfung umfasst eine Vielzahl von Themen im Zusammenhang mit AWS-Diensten und -Lösungen, einschließlich Konzeptionierung hochverfügbarer, fehlertoleranter und skalierbarer Systeme auf AWS, Auswahl der geeigneten AWS-Dienste basierend auf Geschäftsanforderungen, Design und Implementierung unternehmensweiter skalierbarer Operationen auf AWS. Kandidaten werden auch auf ihr Wissen über AWS-Sicherheitspraktiken, Compliance und Governance sowie ihre Fähigkeit, gängige Probleme im Zusammenhang mit der AWS-Architektur zu identifizieren und zu lösen, getestet.
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Die AWS-Solutions-Architect-Associate-Prüfung deckt eine breite Palette von Themen wie Entwerfen und Bereitstellen skalierbarer, hoch verfügbar Kostenkontrollmechanismen. Die Prüfung testet auch die Fähigkeit des Kandidaten, sichere Anwendungen und Infrastrukturen für AWS zu entwerfen und bereitzustellen und Best Practices für Sicherheit und Einhaltung zu implementieren. Die AWS-Solutions-Architect-Associate-Zertifizierung ist eine großartige Möglichkeit, Ihre Cloud-Computing-Fähigkeiten zu validieren und als AWS-zertifizierter Fachmann zu erkennen.
113. Frage
A company copies 200 TB of data from a recent ocean survey onto AWS Snowball Edge Storage Optimized devices. The company has a high performance computing (HPC) cluster that is hosted on AWS to look for oil and gas deposits. A solutions architect must provide the cluster with consistent sub-millisecond latency and high-throughput access to the data on the Snowball Edge Storage Optimized devices. The company is sending the devices back to AWS.
Which solution will meet these requirements?
Antwort: D
Begründung:
To provide the HPC cluster with consistent sub-millisecond latency and high-throughput access to the data on the Snowball Edge Storage Optimized devices, a solutions architect should configure an Amazon FSx for Lustre file system, and integrate it with an Amazon S3 bucket. This solution has the following benefits:
It allows the HPC cluster to access the data on the Snowball Edge devices using a POSIX-compliant file system that is optimized for fast processing of large datasets1.
It enables the data to be imported from the Snowball Edge devices into the S3 bucket using the AWS Snow Family Console or the AWS CLI2. The data can then be accessed from the FSx for Lustre file system using the S3 integration feature3.
It supports high availability and durability of the data, as the FSx for Lustre file system can automatically copy the data to and from the S3 bucket3. The data can also be accessed from other AWS services or applications using the S3 API4.
References:
1: https://aws.amazon.com/fsx/lustre/
2: https://docs.aws.amazon.com/snowball/latest/developer-guide/using-adapter.html
3: https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-fs-linked-data-repo.html
4: https://docs.aws.amazon.com/fsx/latest/LustreGuide/export-data-repo.html
114. Frage
A 3-tier e-commerce web application is current deployed on-premises and will be migrated to AWS for greater scalability and elasticity The web server currently shares read-only data using a network distributed file system The app server tier uses a clustering mechanism for discovery and shared session state that depends on I P multicast The database tier uses shared-storage clustering to provide database fail over capability, and uses several read slaves for scaling Data on all servers and the distributed file system directory is backed up weekly to off-site tapes Which AWS storage and database architecture meets the requirements of the application?
Antwort: C
Begründung:
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure (for example, instance hardware failure, storage failure, or network disruption), Amazon RDS performs an automatic failover to the standby, so that you can resume database operations as soon as the failover is complete. Since the endpoint for your DB Instance remains the same after a failover, your application can resume database operation without the need for manual administrative intervention.
Benefits
Enhanced Durability
Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines utilize synchronous physical replication to keep data on the standby up-to-date with the primary. Multi-AZ deployments for the SQL Server engine use synchronous logical replication to achieve the same result, employing SQL Server-native Mirroring technology. Both approaches safeguard your data in the event of a DB Instance failure or loss of an Availability Zone.
If a storage volume on your primary fails in a Multi-AZ deployment, Amazon RDS automatically initiates a failover to the up-to-date standby. Compare this to a Single-AZ deployment: in case of a Single-AZ database failure, a user-initiated point-in-time-restore operation will be required. This operation can take several hours to complete, and any data updates that occurred after the latest restorable time (typically within the last five minutes) will not be available.
Amazon Aurora employs a highly durable, SSD-backed virtualized storage layer purpose-built for database workloads. Amazon Aurora automatically replicates your volume six ways, across three Availability Zones. Amazon Aurora storage is fault-tolerant, transparently handling the loss of up to two copies of data without affecting database write availability and up to three copies without affecting read availability. Amazon Aurora storage is also self-healing. Data blocks and disks are continuously scanned for errors and replaced automatically.
Increased Availability
You also benefit from enhanced database availability when running Multi-AZ deployments. If an Availability Zone failure or DB Instance failure occurs, your availability impact is limited to the time automatic failover takes to complete: typically under one minute for Amazon Aurora and one to two minutes for other database engines (see the RDS FAQ for details).
The availability benefits of Multi-AZ deployments also extend to planned maintenance and backups.
In the case of system upgrades like OS patching or DB Instance scaling, these operations are applied first on the standby, prior to the automatic failover. As a result, your availability impact is, again, only the time required for automatic fail over to complete.
Unlike Single-AZ deployments, 1/0 activity is not suspended on your primary during backup for Multi-AZ deployments for the MySQL, Oracle, and PostgreSQL engines, because the backup is taken from the standby. However, note that you may still experience elevated latencies for a few minutes during backups for Multi-AZ deployments.
On instance failure in Amazon Aurora deployments, Amazon RDS uses RDS Multi-AZ technology to automate failover to one of up to 15 Amazon Aurora Replicas you have created in any of three Availability Zones. If no Amazon Aurora Replicas have been provisioned, in the case of a failure, Amazon RDS will attempt to create a new Amazon Aurora DB instance for you automatically.
No Administrative Intervention
DB Instance failover is fully automatic and requires no administrative intervention. Amazon RDS monitors the health of your primary and standbys, and initiates a failover automatically in response to a variety of failure conditions.
Failover conditions
Amazon RDS detects and automatically recovers from the most common failure scenarios for Multi-AZ deployments so that you can resume database operations as quickly as possible without administrative intervention. Amazon RDS automatically performs a failover in the event of any of the following:
Loss of availability in primary Availability Zone
Loss of network connectivity to primary
Compute unit failure on primary
Storage failure on primary
Note: When operations such as DB Instance scaling or system upgrades like OS patching are initiated for Multi-AZ deployments, for enhanced availability, they are applied first on the standby prior to an automatic failover. As a result, your availability impact is limited only to the time required for automatic failover to complete. Note that Amazon RDS Multi-AZ deployments do not failover automatically in response to database operations such as long running queries, deadlocks or database corruption errors.
115. Frage
If you have chosen Multi-AZ deployment, in the event of a planned or unplanned outage of your primary DB Instance, Amazon RDS automatically switches to the standby replica. The automatic failover mechanism simply changes the ______ record of the main DB Instance to point to the standby DB Instance.
Antwort: B
116. Frage
A company is running an SMB file server in its data center. The file server stores large files that are accessed frequently for the first few days after the files are created. After 7 days the files are rarely accessed.
The total data size is increasing and is close to the company's total storage capacity. A solutions architect must increase the company's available storage space without losing low-latency access to the most recently accessed files. The solutions architect must also provide file lifecycle management to avoid future storage issues.
Which solution will meet these requirements?
Antwort: D
Begründung:
Explanation
Amazon S3 File Gateway is a hybrid cloud storage service that enables on-premises applications to seamlessly use Amazon S3 cloud storage. It provides a file interface to Amazon S3 and supports SMB and NFS protocols.
It also supports S3 Lifecycle policies that can automatically transition data from S3 Standard to S3 Glacier Deep Archive after a specified period of time. This solution will meet the requirements of increasing the company's available storage space without losing low-latency access to the most recently accessed files and providing file lifecycle management to avoid future storage issues.
Reference: https://docs.aws.amazon.com/storagegateway/latest/userguide/WhatIsStorageGateway.html
117. Frage
A company is designing a new application lo collect data on user behavior for analysis at a later time Amazon Kinesis Data Streams will be used to receive user interaction events What should be done to ensure the event data is retained indefinitely?
Antwort: A
118. Frage
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