1z0-997-23 Dumps with Practice Exam Questions Answers

• Option A is correct because using Autonomous Transaction Processing with shared Exadata infrastructure is the most suitable option for running seasonal workloads in Oracle Cloud Infrastructure. Autonomous Transaction Processing is a fully managed, serverless, and elastic database service that can scale up or down automatically based on the workload demand. It also supports stopping and starting the database to save costs when it is not in use.It runs on Exadata infrastructure, which provides high performance, availability, and security for transactional and mixed workloads12.
• Option B is incorrect because using Oracle Cloud Infrastructure Exadata DB Systems is not optimal for running seasonal workloads in Oracle Cloud Infrastructure. Exadata DB Systems are dedicated, high-performance database systems that can run multiple databases with different shapes and versions. However, they are not serverless or elastic, and they do not support stopping and starting the database.They are more suitable for mission-critical and steady-state workloads that require consistent performance and availability3.
• Option C is incorrect because using Oracle Cloud Infrastructure Virtual Machine DB Systems is not optimal for running seasonal workloads in Oracle Cloud Infrastructure. Virtual Machine DB Systems are flexible and cost-effective database systems that can run single-node or RAC databases with different shapes and versions. However, they are not serverless or elastic, and they do not support stopping and starting the database. They are more suitable for development, testing, or production workloads that require moderate performance and availability .
• Option D is incorrect because using Oracle Cloud Infrastructure Bare Metal DB Systems is not optimal for running seasonal workloads in Oracle Cloud Infrastructure. Bare Metal DB Systems are high-performance database systems that run single-node databases with locally attached NVMe storage. However, they are not serverless or elastic, and they do not support stopping and starting the database. They are more suitable for high-performance, latency-sensitive, specialized, or traditional workloads that require full control over the entire cloud stack .

• Option A is incorrect because restarting the dcsagent program might be necessary if it has the status of stop/waiting to resolve a backup failure1. This isone of the possible database service agent issues that can cause backup failures.
• Option B is incorrect because setting the database archiving mode to NOARCHIVELOG will prevent you from performing online backups. You need to set the database archiving mode to ARCHIVELOG to enable online backups1. This is one of the possible database issues that can cause backup failures.
• Option C is correct because ensuring that your database host can connect to OCI Object Storage is essential for performing backups. You need to check the object store connectivity issues that can cause backup failures, such as firewall rules, proxy settings, network routes, and security lists1.

To complete the task of setting up the context for Fn CLI and deploying the python function to exam-app, you can follow these steps:

a. Set up the Fn CLI context in Cloud Shell - In the OCI Console, go toDeveloper Servicesand clickFunctions. - Select your assigned compartment from the list on the left. - ClickGetting Startedon the top right corner. - Copy and paste the commands from theSet Up Fn CLI Contextsection into the Cloud Shell window. This will create a new context for your region and compartment. - Set your registry [repo-name-prefix] by entering the following command in the Cloud Shell window:

`fn update context registry [region_key].ocir.io/[tenancy-name]/{username}`

where [region_key] is the region key for your region (for example, iad for US East Ashburn), [tenancy-name] is the name of your tenancy (for example, ocuocictrng16), and {username} is your username (for example, 99248134-lab.user01).

For example, if your region is US East Ashburn, your tenancy is ocuocictrng16, and your username is 99248134-lab.user01, your command would be:

`fn update context registry iad.ocir.io/ocuocictrng16/99248134-lab.user01`

b. Login to the registry using docker login, which will require you to generate and use an Auth Token - To generate an Auth Token, follow these steps: - In the OCI Console, open the Profile menu on the top right corner and clickUser Settings. - ClickAuth Tokenson the left panel and then clickGenerate Token. - Enter a description for the token and clickGenerate Token. - Copy and save the token value. You will not be able to see it again later. - To login to the registry using docker login, follow these steps: - In the Cloud Shell window, enter the following command:

`docker login [region_key].ocir.io`

where [region_key] is the region key for your region (for example, iad for US East Ashburn).

For example, if your region is US East Ashburn, your command would be:

`docker login iad.ocir.io`

- Enter your username in the format `[tenancy-name]/oracleidentitycloudservice/{username}` (for example, ocuocictrng16/oracleidentitycloudservice/99248134-lab.user01) and press Enter.

- Enter your Auth Token as the password and press Enter. You should see a message saying "Login Succeeded".

c. Use wget https://objectstorage.us-ashburn1.oraclecloud.com/n/ocuocictrng5/b/PBT_Storage/o/ExamFunction-main.zipto upload the zip archive containing the Python function files to Cloud Shell. - In the Cloud Shell window, enter the following command:

`wget https://objectstorage.us-ashburn1.oraclecloud.com/n/ocuocictrng5/b/PBT_Storage/o/ExamFunction-main.zip`

This will download the zip archive to your current directory.

d. Extract the files by using the unzip utility and navigate to the python sub-folder - In the Cloud Shell window, enter the following commands:

`unzip ExamFunction-main.zip`

`cd ExamFunction-main/python`

This will extract the files from the zip archive and change your current directory to the python sub-folder.

e. Deploy the python function to the exam-app using an fn command - In the Cloud Shell window, enter the following command:

`fn deploy --app exam-app --local`

This will deploy the python function to the exam-app application using your local Docker image.

f. Invoke the function at least 2 times using an fn command - In the Cloud Shell window, enter the following command:

`fn invoke exam-app hellopython`

This will invoke the function and print its output.

- You can invoke the function again by repeating the same command or pressing Up Arrow and Enter keys. You should see different outputs each time you invoke the function.