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SysOps Administrator AWS-SysOps 数年以来の試験問題集を研究しています。
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AWS-SysOps PDF DEMO:
QUESTION NO: 1
What does Amazon ELB stand for?
A. Encrypted Load Balancing
B. Elastic Load Balancing
C. Encrypted Linux Box
D. Elastic Linux Box
Answer: B
Explanation
Amazon ELB stands for Elastic Load Balancing. Elastic Load Balancing distributes incoming application traffic across multiple EC2 instances, in multiple Availability Zones. This increases the fault tolerance of your applications.
References:
QUESTION NO: 2
An organization wants to move to Cloud. They are looking for a secure encrypted database storage option.
Which of the below mentioned AWS functionalities helps them to achieve this?
A. AWS S3 server side storage
B. Multi-tier encryption with Redshift
C. AWS EBS encryption
D. AWS MFA with EBS
Answer: C
Explanation
AWS EBS supports encryption of the volume while creating new volumes. It also supports creating volumes from existing snapshots provided the snapshots are created from encrypted volumes. The data at rest, the I/O as well as all the snapshots of EBS will be encrypted. The encryption occurs on the servers that host the EC2 instances, providing encryption of data as it moves between the EC2 instances and EBS storage. EBS encryption is based on the AES-256 cryptographic algorithm, which is the industry standard
QUESTION NO: 3
What does Amazon RDS perform?
A. It tests the functionalities in websites.
B. It provides sensory feedback.
C. It blocks users from creating DB instances.
D. It manages the work involved in setting up a relational database.
Answer: D
Explanation
Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software.
References:
QUESTION NO: 4
A user is trying to aggregate all the CloudWatch metric data of the last 1 week. Which of the below mentioned statistics is not available for the user as a part of data aggregation?
A. Sample data
B. Sum
C. Average
D. Aggregate
Answer: D
Explanation
Amazon CloudWatch is basically a metrics repository. Either the user can send the custom data or an
AWS product can put metrics into the repository, and the user can retrieve the statistics based on those metrics. The statistics are metric data aggregations over specified periods of time. Aggregations are made using the namespace, metric name, dimensions, and the data point unit of measure, within the time period that is specified by the user. CloudWatch supports Sum, Min, Max, Sample Data and
Average statistics aggregation.
QUESTION NO: 5
A user is having data generated randomly based on a certain event. The user wants to upload that data to CloudWatch. It may happen that event may not have data generated for some period due to randomness.
Which of the below mentioned options is a recommended option for this case?
A. The user must upload the data to CloudWatch as having no data for some period will cause an error at CloudWatch monitoring
B. For the period when there is no data the user should send a blank value
C. For the period when there is no data the user should send the value as 0
D. For the period when there is no data, the user should not send the data at all
Answer: C
Explanation
AWS CloudWatch supports the custom metrics. The user can always capture the custom data and upload the data to CloudWatch using CLI or APIs. When the user data is more random and not generated at regular intervals, there can be a period which has no associated data. The user can either publish the zero (0. Value for that period or not publish the data at all. It is recommended that the user should publish zero instead of no value to monitor the health of the application. This is helpful in an alarm as well as in the generation of the sample data count.
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Updated: May 27, 2022