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NEW QUESTION: 1
An access control policy for a bank teller is an example of the implementation of which of the following?
A. Role-based policy
B. Identity-based policy
C. User-based policy
D. Rule-based policy
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Role-based access control is a model where access to resources is determined by job role rather than by user account. In this question, a bank teller is a job role. Therefore, an access control policy for a bank teller is a role-based policy.
Within an organization, roles are created for various job functions. The permissions to perform certain operations are assigned to specific roles. Members or staff (or other system users) are assigned particular roles, and through those role assignments acquire the computer permissions to perform particular computer-system functions. Since users are not assigned permissions directly, but only acquire them through their role (or roles), management of individual user rights becomes a matter of simply assigning appropriate roles to the user's account; this simplifies common operations, such as adding a user, or changing a user's department.
Incorrect Answers:
A: With Rule-Based Access Control, access is allowed or denied to resources based on a set of rules. The rules could be membership of a group, time of day etc. This model is not used to provide access to resources to someone performing a job role such as a bank teller.
B: Bank Teller is a job role, not an identity. In an identity-based policy, access to resources is determined by the identity of the user, not the role of the user.
C: A user-based policy would be similar to an identity-based policy whereby access to resources is determined by who the user is, not what role the user performs.
References:
http://en.wikipedia.org/wiki/Role-based_access_control

NEW QUESTION: 2
When making a cost-time trade-off in CPM analysis, the first activity that should be crashed is the activity:
A. On the critical path with the maximum possible time reduction.
B. With the lowest unit crash cost.
C. With the largest amount of slack.
D. On the critical path with the lowest unit crash cost.
Answer: D
Explanation:
When making a cost-time trade-off, the first activity to be crashed (have its completion time accelerated) is one on the critical path. To select an activity on another path would not reduce the total time of completion. The initial activity chosen should be the one with the completion time that can be accelerated at the lowest possible cost per unit of time saved.

NEW QUESTION: 3
You work as a Cisco engineer at Company.com. With your judgement, in the highly competitive networking switch market, which of the following can Cisco make that the competition cannot?
PassGuide.com-Make You Succeed To Pass IT Exams
PassGuide 646-985
A. Cisco has blade server switches for both data networking and storage networking requirements.
B. Cisco has a commitment to using Ethernet as the backbone connection system for the data center.
C. 10 Gigabit Ethernet is available on all switches and line cards, and blade switches for both data networks and storage networks..
D. Cisco supports modular switches and top-of-rack switches for both Gigabit Ethernet and 10 Gigabit Ethernet, and blade switches for both data networks and storage networks.
Answer: D
Explanation:
Section: (none)

NEW QUESTION: 4
회사에는 퍼블릭 및 프라이빗 서브넷에서 실행되는 2 계층 애플리케이션 아키텍처가 있습니다. 웹 애플리케이션을 실행하는 Amazon EC2 인스턴스는 퍼블릭 서브넷에 있고 데이터베이스는 프라이빗 서브넷에서 실행됩니다. 웹 애플리케이션 인스턴스 및 데이터베이스는 단일 가용 영역에서 실행되고 있습니다. (AZ).
솔루션 아키텍트가이 아키텍처에 고 가용성을 제공하기 위해 취해야 할 단계 조합은 무엇입니까? (2 개 선택)
A. 기존 웹 애플리케이션 인스턴스를 Application Load Balancer 뒤의 Auto Scaling 그룹에 추가
B. 고 가용성을 위해 동일한 AZ에서 새로운 퍼블릭 및 프라이빗 서브넷 생성
C. 여러 AZ에 걸친 Amazon EC2 Auto Scaling 그룹 및 Application Load Balancer 생성
D. 새 AZ에서 새로운 퍼블릭 및 프라이빗 서브넷 생성 하나의 AZ에서 Amazon EC2를 사용하여 데이터베이스 생성
E. 각각의 새로운 AZ에서 동일한 VPC에 새로운 퍼블릭 및 프라이빗 서브넷 생성 각각의 데이터베이스를 Amazon RDS 다중 AZ 배포로 마이그레이션
Answer: C,E
Explanation:
Explanation
You can take advantage of the safety and reliability of geographic redundancy by spanning your Auto Scaling group across multiple Availability Zones within a Region and then attaching a load balancer to distribute incoming traffic across those zones. Incoming traffic is distributed equally across all Availability Zones enabled for your load balancer.
Note
An Auto Scaling group can contain Amazon EC2 instances from multiple Availability Zones within the same Region. However, an Auto Scaling group can't contain instances from multiple Regions.
When one Availability Zone becomes unhealthy or unavailable, Amazon EC2 Auto Scaling launches new instances in an unaffected zone. When the unhealthy Availability Zone returns to a healthy state, Amazon EC2 Auto Scaling automatically redistributes the application instances evenly across all of the zones for your Auto Scaling group. Amazon EC2 Auto Scaling does this by attempting to launch new instances in the Availability Zone with the fewest instances. If the attempt fails, however, Amazon EC2 Auto Scaling attempts to launch in other Availability Zones until it succeeds.
You can expand the availability of your scaled and load-balanced application by adding an Availability Zone to your Auto Scaling group and then enabling that zone for your load balancer. After you've enabled the new Availability Zone, the load balancer begins to route traffic equally among all the enabled zones.
High Availability (Multi-AZ) for Amazon RDS
Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments.
Amazon RDS uses several different technologies to provide failover support. Multi-AZ deployments for MariaDB, MySQL, Oracle, and PostgreSQL DB instances use Amazon's failover technology. SQL Server DB instances use SQL Server Database Mirroring (DBM) or Always On Availability Groups (AGs).
In a Multi-AZ deployment, Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy, eliminate I/O freezes, and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance, and help protect your databases against DB instance failure and Availability Zone disruption. For more information on Availability Zones, see Regions, Availability Zones, and Local Zones

https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html