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NEW QUESTION: 1
The process of identifying risks and taking steps to minimize them is referred to as what?
A. Liability management
B. Risk management
C. Risk assessment
D. Qualitative analysis
Answer: B
Explanation:
Answer option B is correct.Risk management identifies areas of possible legal exposure for
the organization and reduces those risks with preventive actions. Liability management (C)
occurs after a liability is incurred, while risk management seeks to prevent liability.
Qualitative analysis (A) covers several subjective tools for analysis. A risk assessment (D)
is used to determine how likely it is that an identified risk will actually occur. See Chapters 2
and 8 for more information.
Chapter: Risk Management
Objective: Risk Management

NEW QUESTION: 2

A. Option D
B. Option C
C. Option A
D. Option B
Answer: A
Explanation:
Explanation
Assigning the user management administrator role would allow users to create non-privileged Office 365 accounts without assigning unnecessary privileges

NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。 一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このシナリオで質問に答えた後、その質問に戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
階層構造を持つAzure Databricksワークスペースを作成する予定です。 ワークスペースには、次の3つのワークロードが含まれます。
* A workload for data engineers who will use Python and SQL
* A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
* A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
* The data engineers must share a cluster.
* The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
* All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a Standard cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
We would need a High Concurrency cluster for the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language:
Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html

NEW QUESTION: 4
You are about to plug a multi-terabyte non-CDB into an existing multitenant container database (CDB).
The characteristics of the non-CDB are as follows:
- Version: Oracle Database 11g Release 2 (11.2.0.2.0) 64-bit
- Character set: AL32UTF8
- National character set: AL16UTF16
- O/S: Oracle Linux 6 64-bit
The characteristics of the CDB are as follows:
- Version: Oracle Database 12c Release 1 64-bit
- Character Set: AL32UTF8
- National character set: AL16UTF16
- O/S: Oracle Linux 6 64-bit
Which technique should you use to minimize down time while plugging this non-CDB into the CDB?
A. Data Pump full export/import
B. Transportable database
C. Transportable tablespace
D. RMAN
E. The DBMS_PDB package
Answer: C
Explanation:
* Overview, example:
- Log into ncdb12c as sys
- Get the database in a consistent state by shutting it down cleanly.
- Open the database in read only mode
- Run DBMS_PDB.DESCRIBE to create an XML file describing the database.
- Shut down ncdb12c
- Connect to target CDB (CDB2)
- Check whether non-cdb (NCDB12c) can be plugged into CDB(CDB2)
- Plug-in Non-CDB (NCDB12c) as PDB(NCDB12c) into target CDB(CDB2).
- Access the PDB and run the noncdb_to_pdb.sql script.
- Open the new PDB in read/write mode.
* You can easily plug an Oracle Database 12c non-CDB into a CDB. Just create a PDB manifest file for the non-CDB, and then use the manifest file to create a cloned PDB in the CDB.
* Note that to plug in a non-CDB database into a CDB, the non-CDB database needs to be of version 12c as well. So existing 11g databases will need to be upgraded to 12c before they can be part of a 12c CDB.