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NEW QUESTION 34
A cloud consultant is working on implementation project on OCI. As part of the compliance requirements, the objects placed in object storage should be automatically archived first and then deleted. He is testing a Lifecycle Policy on Object Storage and created a policy as below:
[ { "name": "Archive_doc", "action": "ARCHIVE", "objectNameFilter": { "inclusionPrefixes": "doc"] },
"timeAmount": 5, "timeunit": "DAYS", "isEnabled": true },
{ "name": "Delete_doc", "action": "DELETE", "objectNameFilter": "inclusionPrefixes": [ "doc"]
1."timeAmount": 5, "timeunit": "DAYS", "isEnabled": true }
What will happen after this policy is applied?

• A. All objects with names starting with "doc" will be deleted after 5 days of object creation
• B. All the objects having file extension ".doc" will be archived 5 days after object creation
• C. All the objects with names starting with "doc" will be archived 5 days after object creation and will be deleted 5 days after archival
• D. All the objects having file extension ".doc" will be archived for 5 days and will be deleted 10 days after object creation

Answer: A

Explanation:
Object Lifecycle Management works by defining rules that instruct Object Storage to archive or delete objects on your behalf within a given bucket. A bucket's lifecycle rules are collectively known as an object lifecycle policy.
You can use a rule to either archive or delete objects and specify the number of days until the specified action is taken.
A rule that deletes an object always takes priority over a rule that would archive that same object.

NEW QUESTION 35
You are tasked with backing up your data using Oracle Cloud Infrastructure Block Volume service.
When you are finalizing your block volume backup schedule, which of the following two are valid considerations for your backup plan? (Choose Two)

• A. Governance: Tagging of backups so you can capture backup related API calls through the Audit service.
• B. Location: Determine the Object Store Bucket where the backups will be stored.
• C. Frequency: How often you want to back up your data.
• D. Encryption: Whether to use your own key to encrypt your volume backups.
• E. Number of stored backups: How many backups you need to keep available and the deletion schedule for those you no longer need.

Answer: C,E

NEW QUESTION 36
You work for a German company as the Lead Oracle Cloud Infrastructure architect. You have designed a highly scalable architecture for your company's business critical application which uses the Load Balancer service auto which uses the Load Balancer service, autoscaling configuration for the application servers and a 2 Node VM Oracle RAC database. During the peak utilization period of the- application yon notice that the application is running slow and customers are complaining. This is resulting in support tickets being created for API timeouts and negative sentiment from the customer base.
What are two possible reasons for this application slowness?

• A. Autoscaling configuration for the application servers didn't happen due to service limit breach of the VM shapes used by the application servers
• B. Autoscaling configuration for the application servers didn't happen due to IAM policy that's blocking access to the application server compartment
• C. Autoscaling configuration for the application servers didn't happen due to compartment quota breach of the VM shapes used by the application servers.
• D. The Load Balancer doesn't have a Network Security Group to allow traffic to the application servers.
• E. The Load Balancer configuration is not sending traffic to the listener of the application servers.

Answer: A,C

Explanation:
Autoscaling
Autoscaling enables you to automatically adjust the number of Compute instances in an instance pool based on performance metrics such as CPU utilization. This helps you provide consistent performance for your end users during periods of high demand, and helps you reduce your costs during periods of low demand.
Prerequisites
- You have an instance pool. Optionally, you can attach a load balancer to the instance pool. For steps to create an instance pool and attach a load balancer, see Creating an Instance Pool.
- Monitoring is enabled on the instances in the instance pool. For steps to enable monitoring, see Enabling Monitoring for Compute Instances.
- The instance pool supports the maximum number of instances that you want to scale to. This limit is determined by your tenancy's service limits.
About Service Limits and Usage
When you sign up for Oracle Cloud Infrastructure, a set of service limits are configured for your tenancy.
The service limit is the quota or allowance set on a resource. For example, your tenancy is allowed a maximum number of compute instances per availability domain. These limits are generally established with your Oracle sales representative when you purchase Oracle Cloud Infrastructure.
Compartment Quotas
Compartment quotas are similar to service limits; the biggest difference is that service limits are set by Oracle, and compartment quotas are set by administrators, using policies that allow them to allocate resources with a high level of flexibility.

NEW QUESTION 37
You are trying to delete a compartment. The delete operation is falling and you need to troubleshoot the problem.
Which step should NOT be considered when troubleshooting this issue?

• A. Make sure you have at least one more compartment in your tenancy other than the root compartment.
• B. Verify that you have removed all resources from the compartment.
• C. Search for resources in the compartment for each region that your tenancy is subscribed to.
• D. Verify that there are no policies In the root compartment that reference the compartment you are trying to delete.

Answer: D

NEW QUESTION 38
You have been asked to create a mobile application which will be used for submitting orders by users of a popular E-Commerce site. The application is built to work with Autonomous Transaction Processing - Serverless (ATP-S) database as the backend and HTML5 on Oracle Application Express as the front end. During the peak usage of the application you notice that the application response time is very slow. ATP-S database is deployed with 3 CPU cores and 1 TB of memory.
Which two options are expensive or impractical ways to improve the application response times?

• A. Enable auto scaling for CPU cores on ATP-S database.
• B. Use the Machine Learning (ML) feature of the ATP-S database iteratively to tune the SQL queries used by the application.
• C. Scale up CPU core count and memory during peak times.
• D. Identify the maximum memory capacity needed for peak times and scale the memory for the ATP-S database to that number. ATP-S will scale the memory down when not needed.
• E. Identify the maximum CPU capacity needed for peak times and scale the CPU core count for the ATP-S database to that number. ATP-S will scale the CPU core count down when not needed.

Answer: C,E

NEW QUESTION 39
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