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NEW QUESTION: 1
What is the effect of specifying the "ENABLE PLUGGABLE DATABASE" clause in a "CREATE DATABASE" statement?
A. It will create a CDB with root opened and seed mounted.
B. It will create a multitenant container database (CDB) with only the root opened.
C. It will create a CDB with root and seed opened and one PDB mounted.
D. It will create a CDB with root opened and seed read only.
E. It will create a CDB that must be plugged into an existing CDB.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
* The CREATE DATABASE ... ENABLE PLUGGABLE DATABASE SQL statement creates a new CDB. If you do not specify the ENABLE PLUGGABLE DATABASE clause, then the newly created database is a non-CDB and can never contain PDBs.
Along with the root (CDB$ROOT), Oracle Database automatically creates a seed PDB (PDB$SEED). The following graphic shows a newly created CDB:
* Creating a PDB
Rather than constructing the data dictionary tables that define an empty PDB from scratch, and then populating its Obj$ and Dependency$ tables, the empty PDB is created when the CDB is created. (Here, we use empty to mean containing no customer-created artifacts.) It is referred to as the seed PDB and has the name PDB$Seed. Every CDB non-negotiably contains a seed PDB; it is non-negotiably always open in read-only mode. This has no conceptual significance; rather, it is just an optimization device. The create PDB operation is implemented as a special case of the clone PDB operation.
NEW QUESTION: 2
You create a deep learning model for image recognition on Azure Machine Learning service using GPU-based training.
You must deploy the model to a context that allows for real-time GPU-based inferencing.
You need to configure compute resources for model inferencing.
Which compute type should you use?
A. Azure Container Instance
B. Azure Kubernetes Service
C. Machine Learning Compute
D. Field Programmable Gate Array
Answer: B
Explanation:
Explanation
You can use Azure Machine Learning to deploy a GPU-enabled model as a web service. Deploying a model on Azure Kubernetes Service (AKS) is one option. The AKS cluster provides a GPU resource that is used by the model for inference.
Inference, or model scoring, is the phase where the deployed model is used to make predictions. Using GPUs instead of CPUs offers performance advantages on highly parallelizable computation.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-inferencing-gpus
NEW QUESTION: 3
You have just installed MySQL on Oracle Linux and adjusted your /etc/my.cnf parameters to suit your installation.
Examine the output:
What statement is true about the start attempt?
A. MySQL server was not started due to a problem while executing process 2732.
B. systemd found the mysqld service disabled and failed to start it.
C. systemd attempted to start mysqld, found another systemd mysqld process running, and shut it down.
D. MySQL server continued to start up even though another process existed.
E. systemd waited for 30 seconds before timing out and start up failed.
Answer: C
NEW QUESTION: 4
When creating a forensic image of a hard drive, which of the following should be the FIRST step?
A. Establish a chain of custody log.
B. Identify a recognized forensics software tool to create the image.
C. Generate a cryptographic hash of the hard drive contents.
D. Connect the hard drive to a write blocker.
Answer: A
Explanation:
The first step in any investigation requiring the creation of a forensic image should always be to maintain the chain of custody. Identifying a recognized forensics software tool to create the image is one of the important steps, but it should come after several of the other options. Connecting the hard drive to a write blocker is an important step, but it must be done after the chain of custody has been established. Generating a cryptographic hash of the hard drive contents is another important step, but one that comes after several of the other options.