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NEW QUESTION: 1
Switches maintain a CAM Table that maps individual MAC addresses on the network to physical ports on the switch.

In MAC flooding attack, a switch is fed with many Ethernet frames, each containing different source MAC addresses, by the attacker. Switches have a limited memory for mapping various MAC addresses to physical ports. What happens when the CAM table becomes full?
A. Every packet is dropped and the switch sends out SNMP alerts to the IDS port
B. The CAM overflow table will cause the switch to crash causing Denial of Service
C. The switch replaces outgoing frame switch factory default MAC address of FF:FF:FF:FF:FF:FF
D. Switch then acts as hub by broadcasting packets to all machines on the network
Answer: D

NEW QUESTION: 2
Examine the parallelism parameters for you instance. Now examine the DSS_PLAN with parallel statement directives:


Which two are true about the DSS_PLAN resource manager plan?
A. URGENT_GROUP sessions will not be queued if 64 parallel execution servers are busy because their PARALLEL_TARGET_PERCENTAGE is not specified.
B. ETL_GROUP sessions can collectively consume 64 parallel execution servers before queuing starts for this consumer group.
C. OTHER_GROUPS sessions are queued for maximum of six minutes.
D. URGENT_GROUPS sessions will always be dequeued before sessions from other groups.
E. An ETL_GRP sessions will be switched to URGENT_GROUPS if the session requests more than eight parallel executions servers.
Answer: C,D
Explanation:
B:PARALLEL_QUEUE_TIMEOUT
Parallel Queue Timeout
When you use parallel statement queuing, if the database does not have sufficient
resources to execute a parallel statement, the statement is queued until the required
resources become available. However, there is a chance that a parallel statement may be
waiting in the parallel statement queue for longer than is desired. You can prevent such
scenarios by specifying the maximum time a parallel statement can wait in the parallel
statement queue.
The PARALLEL_QUEUE_TIMEOUT directive attribute enables you to specify the
maximum time, in seconds, that a parallel statement can wait in the parallel statement
queue before it is timed out. The PARALLEL_QUEUE_TIMEOUT attribute can be set for
each consumer group.
Incorrect:
Not C: ETL_GROUP PARALLEL_TARGET_PERCENTAGE is 50%. So ETL_GROUP can
only consume 32 servers.
Note:
*If you want more per-workload management, you must use the following directive
attributes:
/MGMT_Pn
Management attributes control how a parallel statement is selected from the parallel
statement queue for execution. You can prioritize the parallel statements of one consumer
group over another by setting a higher value for the management attributes of that group.
/PARALLEL_TARGET_PERCENTAGE
/PARALLEL_QUEUE_TIMEOUT
/PARALLEL_DEGREE_LIMIT_P1
* PARALLEL_DEGREE_LIMIT_P1 Degree of Parallelism Limit
You can limit the maximum degree of parallelism for any operation within a consumer group. The degree of parallelism is the number of parallel execution servers that are associated with a single operation. Use the PARALLEL_DEGREE_LIMIT_P1 directive attribute to specify the degree of parallelism for a consumer group.
The degree of parallelism limit applies to one operation within a consumer group; it does not limit the total degree of parallelism across all operations within the consumer group. However, you can combine both the PARALLEL_DEGREE_LIMIT_P1 and the PARALLEL_TARGET_PERCENTAGE directive attributes to achieve the desired control.
* PARALLEL_TARGET_PERCENTAGE Parallel Target Percentage
It is possible for a single consumer group to launch enough parallel statements to use all the available parallel servers. If this happens, when a high-priority parallel statement from a different consumer group is run, no parallel servers are available to allocate to this group. You can avoid such a scenario by limiting the number of parallel servers that can be used by a particular consumer group.
Use the PARALLEL_TARGET_PERCENTAGE directive attribute to specify the maximum percentage of the parallel server pool that a particular consumer group can use. The number of parallel servers used by a particular consumer group is counted as the sum of the parallel servers used by all sessions in that consumer group.

NEW QUESTION: 3
企業がビジネスクリティカルなデータセットをAmazon S3に移行することを計画しています。現在のソリューション設計では、us-east-1リージョンで単一のS3バケットを使用しており、データセットを保存するためにバージョン管理が有効になっています。同社の災害復旧ポリシーでは、すべてのデータが複数のAWSリージョンにあると規定されています。
ソリューションアーキテクトはS3ソリューションをどのように設計すべきですか？
A. 別のリージョンに追加のS3バケットを作成し、クロスオリジンリソースシェアリング（CORS）を構成します。
B. 別のリージョンでバージョニングを使用して追加のS3バケットを作成し、クロスリージョンレプリケーションを構成します。
C. 別のリージョンでバージョニングを使用して追加のS3バケットを作成し、クロスオリジンリソース（CORS）を構成します。
D. 別のリージョンに追加のS3バケットを作成し、リージョン間レプリケーションを構成します。
Answer: D
Explanation:
Explanation
Object Versioning
Use Amazon S3 Versioning to keep multiple versions of an object in one bucket. For example, you could store my-image.jpg (version 111111) and my-image.jpg (version 222222) in a single bucket. S3 Versioning protects you from the consequences of unintended overwrites and deletions. You can also use it to archive objects so that you have access to previous versions.
You must explicitly enable S3 Versioning on your bucket. By default, S3 Versioning is disabled. Regardless of whether you have enabled Versioning, each object in your bucket has a version ID. If you have not enabled Versioning, Amazon S3 sets the value of the version ID to null. If S3 Versioning is enabled, Amazon S3 assigns a version ID value for the object. This value distinguishes it from other versions of the same key.
Enabling and suspending versioning is done at the bucket level. When you enable versioning on an existing bucket, objects that are already stored in the bucket are unchanged. The version IDs (null), contents, and permissions remain the same. After you enable S3 Versioning for a bucket, each object that is added to the bucket gets a version ID, which distinguishes it from other versions of the same key.
Cross-origin resource sharing (CORS)
Cross-origin resource sharing (CORS) defines a way for client web applications that are loaded in one domain to interact with resources in a different domain. With CORS support, you can build rich client-side web applications with Amazon S3 and selectively allow cross-origin access to your Amazon S3 resources.
https://docs.aws.amazon.com/AmazonS3/latest/dev/ObjectVersioning.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/cors.html

NEW QUESTION: 4
In an Avaya Aura release 8.0.1 environment, where is the best place to start troubleshooting Instant Messaging issues?
A. Avaya Aura Messaging (AAM)
B. Avaya Aura Communication Manager
C. Presence Services Snap-In/Avaya Breeze
D. Avaya Aura Device Services (AADS)
Answer: A