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NEW QUESTION: 1
Which four statements are true concerning the upgrading of Oracle Grid Infrastructure 12c?
A. The ORACLE_HOME environment variable must be set to the Grid Infrastructure home directory in the installation owner's environment.
B. The upgrade must be done out of place.
C. The upgrade must be done in-place.
D. The ORACLE_SID environment variable must be set to the SID of the ASM instance in the installation owner's environment.
E. The cluster verification utility cluvfy.sh can generate fixup scripts to run on all nodes of the cluster.
F. Upgrade validation may be done using the Oracle Universal Installer which in turn invokes the built-in cluster verification utility.
G. The cluster verification utility cluvfy.sh can verify that the cluster is ready for an upgrade.
Answer: A,B,E,G
Explanation:
Explanation/Reference:
Explanation:
A: Use the following command to start the installer, where the path you provide for the flag ORACLE_HOME is the location of the home directory from the earlier Oracle Clusterware installation For example:
$ cd /u01/app/12.1.0/grid/oui/bin
$ ./runInstaller -nowait -waitforcompletion -ignoreSysPrereqs -updateNodeList -silent CRS=true ORACLE_HOME=/u01/app/crs C: Oracle Clusterware and Oracle ASM upgrades are always out-of-place upgrades. You cannot perform an in-place upgrade of Oracle Clusterware and Oracle ASM to existing homes.
E, G: Run the CVU manual script cluvfy.sh script to perform system checks and generate fixup scripts Incorrect Answers:
A, F: For the installation owner running the installation, if you have environment variables set for the existing installation, then unset the environment variables $ORACLE_HOME and $ORACLE_SID, as these environment variables are used during upgrade. For example:
$ unset ORACLE_BASE
$ unset ORACLE_HOME
$ unset ORACLE_SID
D: You can run upgrade validations in one of two ways:
Run OUI, and allow the CVU validation built into OUI to perform system checks and generate fixup

scripts
Run the CVU manual script cluvfy.sh script to perform system checks and generate fixup scripts.

References: https://docs.oracle.com/database/121/CWLIN/procstop.htm#CWLIN422

NEW QUESTION: 2
AzureSynapseにSQLプールがあります。
AzureBlobストレージからステージングテーブルにデータをロードすることを計画しています。毎日約100万行のデータが読み込まれます。テーブルは、毎日のロードの前に切り捨てられます。
ステージングテーブルを作成する必要があります。このソリューションでは、データをステージングテーブルにロードするのにかかる時間を最小限に抑える必要があります。
テーブルをどのように構成する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:
Explanation

Box 1: Hash
Hash-distributed tables improve query performance on large fact tables. hey can have very large numbers of rows and still achieve high performance.
Incorrect:
Round-robin tables are useful for improving loading speed.
Box 2: Clustered columnstore
When creating partitions on clustered columnstore tables, it is important to consider how many rows belong to each partition. For optimal compression and performance of clustered columnstore tables, a minimum of 1 million rows per distribution and partition is needed.
Box 3: Date
Table partitions enable you to divide your data into smaller groups of data. In most cases, table partitions are created on a date column.
Partition switching can be used to quickly remove or replace a section of a table.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-partitio
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distrib

NEW QUESTION: 3
Which Microsoft Project Server service manages OLAP cubes to view within Project Web Access and to use Data Analysis cubes?
A. Cube Building Service
B. Analysis Services
C. Data Management Service
D. Reporting Data Service
Answer: A
Explanation:
It is the Cube Building Service that provides the ability to view data through Project Web Access and to use Data Analysis Services. Answer option D is incorrect. Reporting Data Service generates metadata and data for the Cube Building Service. Answer option A is incorrect. There is no such service as Data Management Service. Answer option B is incorrect. Analysis services allow Data Analysis to interact with the cube and the data. What is the Cube Building Service? The Cube Building Service is a reporting and analysis feature in Microsoft Project Server that allows a user to perform complex analysis of project data. It uses SQL Server Analysis Services to create an online analytical processing (OLAP) database containing several cubes that are used for data analysis reporting. It is administered through the Project Web Access Site Settings page. It allows for data cubes to be built from selections within the Reporting database.