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NEW QUESTION: 1



A. CustomError ["ErrorType"] = Error;
B. Error-constructor = CustomError;
C. CustomError .prototype = Error.prototype;
D. CustomError.customError = true;
Answer: C
Explanation:
Explanation: * Object.prototype.constructor
Returns a reference to the Object function that created the instance's prototype. Note that the value of this property is a reference to the function itself, not a string containing the function's name. The value is only read-only for primitive values such as 1, true and "test".
* The constructor property is created together with the function as a single property of func.prototype.
Reference: Object.prototype.constructor

NEW QUESTION: 2
Password history policies are used to prevent:
A. Social engineering
B. Brute force attacks
C. Users from sharing passwords
D. Passwords from being reused immediately
Answer: D
Explanation:
Explanation/Reference:
Explanation:
This security setting determines the number of unique new passwords that have to be associated with a user account before an old password can be reused. The value must be between 0 and 24 passwords.
This policy enables administrators to enhance security by ensuring that old passwords are not reused continually.
Reference: http://technet.microsoft.com/en-us/library/cc758950(v=ws.10).aspx

NEW QUESTION: 3
3 계층 전자 상거래 웹 애플리케이션은 현재 온 프레미스로 배포되며 확장 성과 탄력성을 높이기 위해 AWS로 마이그레이션됩니다. 웹 서버는 현재 네트워크 분산 파일 시스템을 사용하여 읽기 전용 데이터를 공유합니다. 앱 서버 계층은 IP 멀티 캐스트에 의존하는 검색 및 공유 세션 상태에 클러스터링 메커니즘을 사용합니다. 데이터베이스 계층은 공유 스토리지 클러스터링을 사용하여 데이터베이스 대체 기능을 제공하고 확장을 위해 여러 읽기 슬레이브를 사용합니다. 모든 서버 및 분산 파일 시스템 디렉토리의 데이터는 매주 오프 사이트 테이프에 백업됩니다.
애플리케이션의 요구 사항을 충족하는 AWS 스토리지 및 데이터베이스 아키텍처는 무엇입니까?
A. 웹 서버 : S3에 읽기 전용 데이터를 저장하고 부팅시 S3에서 루트 볼륨으로 복사합니다. 앱 서버 :
DynamoDB와 IP 유니 캐스트의 조합을 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 전용 복제본과 함께 RDS를 사용하십시오. 백업 : 웹 및 앱 서버는 AMI를 통해 매주 백업되고 데이터베이스는 DB 스냅 샷을 통해 백업됩니다.
B. 웹 서버 : EC2 NFS 서버에 읽기 전용 데이터를 저장합니다. 부팅시 각 ​​웹 서버에 마운트하십시오. 앱 서버 : DynamoDB와 IP 멀티 캐스트를 조합하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 전용 복제본과 함께 RDS를 사용하십시오. 백업 : 웹 및 앱 서버는 AMI를 통해 매주 백업되고 데이터베이스는 DB 스냅 샷을 통해 백업됩니다.
C. 웹 서버 : S3에 읽기 전용 데이터를 저장하고 부팅시 S3에서 루트 볼륨으로 복사합니다. 앱 서버 :
DynamoDB와 IP 유니 캐스트의 조합을 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포 및 하나 이상의 읽기 전용 복제본과 함께 RDS를 사용하십시오. 백업 : 웹 서버, 앱 서버 및 데이터베이스가 스냅 샷을 사용하여 매주 Glacier에 백업되었습니다.
D. 웹 서버 : S3에 읽기 전용 데이터를 저장하고 부팅시 S3에서 루트 볼륨으로 복사합니다. 앱 서버 :
DynamoDB와 IP 유니 캐스트의 조합을 사용하여 상태를 공유합니다. 데이터베이스 : 다중 AZ 배포에 RDS를 사용하십시오. 백업 : 웹 및 앱 서버는 AMI를 통해 매주 백업되고 데이터베이스는 DB 스냅 샷을 통해 백업됩니다.
Answer: A
Explanation:
Explanation
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 failover to complete.
Unlike Single-AZ deployments, I/O 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.