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NEW QUESTION: 1
You are working on a DBaaS database instance.
Identify the location for the associated database files for your instance.
A. The database file locations are read from utldbfiles.oraand users can update this file to set their own locations.
B. The installer sets the database file locations during installation by configuring the data file storage options.
C. The DBaaS database instance data files are stored at:
/u01: Oracle product software; the entire bits Compute Cloud storage volume
/u02: Oracle Database data storage; the entire data Compute Cloud storage volume
/u03: Database backup storage; the entire fra Compute Cloud storage volume
/u04: Database redo logs; the entire redo Compute Cloud storage volume
D. All DBaaS database files are stored at /u01/app/oracle/oradata.
Answer: C
Explanation:
Explanation/Reference:
Compute Cloud Service Storage Volumes
When a Database Cloud Service database deployment is created at the Oracle Database Cloud Service service level, the following storage volumes are created.

References: Using Oracle Database Cloud Service (February 2017), page A-9
http://docs.oracle.com/cloud/latest/dbcs_dbaas/CSDBI/CSDBI.pdf

NEW QUESTION: 2
DRAG DROP


Answer:
Explanation:

Explanation:

eDiscovery cases can be used in the Office 365 Security & Compliance Center to control who can create, access, and manage eDiscovery cases in your organization.
To set up and use eDiscovery cases in the Security & Compliance Center and Advanced eDiscovery, you can use the options below:
Step 1: Assign eDiscovery permissions to potential case members
Step 2: Create a new case
Step 3: Add members to a case
Step 4: Place content locations on hold
Step 5: Create and run a Content Search associated with a case
Step 6: Export the results of a Content Search associated with a case
Step 7: Prepare search results for Advanced eDiscovery
Step 8: Go to the case in Advanced eDiscovery
(Optional) Step 9: Close a case
(Optional) Step 10: Re-open a closed case
References: https://support.office.com/en-us/article/Manage-eDiscovery-cases-in-the- Office-365-Security-Compliance-Center-9a00b9ea-33fd-4772-8ea6-9d3c65e829e6

NEW QUESTION: 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The FactOrder table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
* Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night Use a partitioning strategy that is as granular as possible.
* Partition the FactOrder table and retain a total of seven years of data.
* Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
* Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
* Incrementally load all tables in the database and ensure that all incremental changes are processed.
* Maximize the performance during the data loading process for the Fact.Order partition.
* Ensure "that historical data remains online and available for querying.
* Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
End of repeated scenario
You need to optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
Which technology should you use for each table?
To answer, select the appropriate technologies in the answer area.


Answer:
Explanation:

Explanation

Box 1: Temporal table
Box 2: Temporal table
Compared to CDC, Temporal tables are more efficient in storing historical data as it ignores insert actions.
Box 3: Change Data Capture (CDC)
By using change data capture, you can track changes that have occurred over time to your table. This kind of functionality is useful for applications, like a data warehouse load process that need to identify changes, so they can correctly apply updates to track historical changes over time.
CDC is good for maintaining slowly changing dimensions.
Scenario: Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated.
References:
https://www.mssqltips.com/sqlservertip/5212/sql-server-temporal-tables-vs-change-data-capture-vs-change-track
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios?view=sql-server

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