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NEW QUESTION: 1
An aggregate is composed of twelve 36-Gigabyte disks.A drive fails and only 72-Gigabyte spare disks
are available.Data ONTAP will then perform what action.
A. Alerts you that there are no 36-Gigabyte disks and wait for one to be inserted.
B. Chooses a 72-Gigabyte disk and use it as is.
C. Chooses a 72-Gigabyte disk and right-size it.
D. Halts after 24 hour of running in degraded mode.
Answer: C
NEW QUESTION: 2
展示を参照してください。
2つのルーター間でOSPFネイバー関係が確立されないのはどの構成問題ですか？
A. R2はpassive-interface defaultコマンドを使用しています
B. R1には、インターフェースGi1 / 0に対する誤ったネットワークコマンドがあります
C. R1インターフェイスGil / 0のMTUサイズが大きい
D. R2のネットワークコマンドはエリア1にある必要があります
Answer: C
NEW QUESTION: 3
Refer to the exhibit. Which statement is true?
A. BGP peer 10.1.2.3 is performing inbound filtering.
B. R1 is a route reflector, but BGP peer 10.1.2.3 is not a route reflector client.
C. BGP peer 10.1.2.3 is a route reflector.
D. R1 still needs to send an update to the BGP peer 10.1.2.3.
Answer: D
NEW QUESTION: 4
You have recently joined a startup company building sensors to measure street noise and air quality in urban areas. The company has been running a pilot deployment of around 100 sensors for 3 months each sensor uploads 1KB of sensor data every minute to a backend hosted on AWS.
During the pilot, you measured a peak or 10 IOPS on the database, and you stored an average of 3GB of sensor data per month in the database.
The current deployment consists of a load-balanced auto scaled Ingestion layer using EC2 instances and a PostgreSQL RDS database with 500GB standard storage.
The pilot is considered a success and your CEO has managed to get the attention or some potential investors.
The business plan requires a deployment of at least 100K sensors which needs to be supported by the backend.
You also need to store sensor data for at least two years to be able to compare year over year Improvements.
To secure funding, you have to make sure that the platform meets these requirements and leaves room for further scaling. Which setup win meet the requirements?
A. Ingest data into a DynamoDB table and move old data to a Redshift cluster
B. Keep the current architecture but upgrade RDS storage to 3TB and 10K provisioned IOPS
C. Add an SQS queue to the ingestion layer to buffer writes to the RDS instance
D. Replace the RDS instance with a 6 node Redshift cluster with 96TB of storage
Answer: D
Explanation:
Explanation
You cannot go with DynamoDB because the application is currently using a Postgre SQL which is an RDS.
Replacing an RDS SQL with a noSQL DB, for the sake of scaling is not a sensible option.