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Q9: How many times the Test Files are updated?

NEW QUESTION: 1
Examine the following output:
[root@station1 ]ps -f UID PID PPID C STIME TTY TIME CMD root 3944 3820 1 03:32 tty1 01:57 -bash root 3984 3944 0 03:32 tty1 01:57 ksh root 3985 3984 0 03:32 tty1 01:57 ps -f
Which columns would you analyze to find the most recently invoked shell?
A. Analyze only the PPID.
B. Analyze both the UID and PI
C. Analyze only the UID.
D. Analyze both the UID and PPID.
E. Analyze both the PID and PPID.
F. Analyze only the PID.
Answer: E

NEW QUESTION: 2
TerramEarth has equipped all connected trucks with servers and sensors to collect telemetry data. Next
year they want to use the data to train machine learning models. They want to store this data in the cloud
while reducing costs.
What should they do?
A. Have the vehicle's computer compress the data in hourly snapshots, and store it in a GCS Coldline
bucket
B. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it
in Google BigQuery
C. Have the vehicle's computer compress the data in hourly snapshots, and store it in a Google Cloud
Storage (GCS) Nearline bucket
D. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it
in Cloud Bigtable
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower
availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For
example:
Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can
be stored at low cost as Coldline Storage, and be available when you need it.
Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides
low latency access to data stored as Coldline Storage.
References: https://cloud.google.com/storage/docs/storage-classes

NEW QUESTION: 3
Your company has HQ in Tokyo and branch offices all over the world and is using a logistics software with a multi-regional deployment on AWS in Japan, Europe and USA.
The logistic software has a 3-tier architecture and currently uses MySQL 5.6 for data persistence. Each region has deployed its own database
In the HQ region you run an hourly batch process reading data from every region to compute cross-regional reports that are sent by email to all offices this batch process must be completed as fast as possible to quickly optimize logistics how do you build the database architecture in order to meet the requirements'?
A. Use Direct Connect to connect all regional MySQL deployments to the HQ region and reduce network latency for the batch process
B. For each regional deployment, use MySQL on EC2 with a master in the region and use S3 to copy data files hourly to the HQ region
C. For each regional deployment, use RDS MySQL with a master in the region and send hourly RDS snapshots to the HQ region
D. For each regional deployment, use RDS MySQL with a master in the region and a read replica in the HQ region
E. For each regional deployment, use MySQL on EC2 with a master in the region and send hourly EBS snapshots to the HQ region
Answer: D

NEW QUESTION: 4
Which of these allows you to add event actions globally based on the risk rating of each event, without having to configure each signature individually?
A. event action summarization
B. signature event action processor
C. event action filter
D. event action override
Answer: D