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NEW QUESTION: 1

A. Option B
B. Option C
C. Option D
D. Option A
E. Option E
Answer: B,C,E
Explanation:
E: Run dotnet ef migrations add InitialCreate to scaffold a migration and create the initial set of tables for the model.
C: You can workaround some of the SQLite limitations by manually writing code in your migrations to perform a table rebuild. A table rebuild involves renaming the existing table, creating a new table, copying data to the new table, and dropping the old table.
D: SQLite does not support all migrations (schema changes) due to limitations in SQLite. For new development, consider dropping the database and creating a new one rather than using migrations when your model changes.
References:
https://docs.microsoft.com/en-us/ef/core/get-started/netcore/new-db-sqlite
https://docs.microsoft.com/en-us/ef/core/providers/sqlite/limitations

NEW QUESTION: 2

A. DOMParser
B. DataView
C. Map
D. JSON
Answer: A

NEW QUESTION: 3
You want to capture column group usage and gather extended statistics for better cardinality estimates for the CUSTOMERS table in the SH schema.
Examine the following steps:
1. Issue the SELECT DBMS_STATS.CREATE_EXTENDED_STATS ('SH',
'CUSTOMERS') FROM dual statement.
2 . Execute the DBMS_STATS.SEED_COL_USAGE (null, 'SH', 500) procedure.
3 . Execute the required queries on the CUSTOMERS table.
4 . Issue the SELECT DBMS_STATS.REPORT_COL_USAGE ('SH', 'CUSTOMERS')
FROM dual statement.
Identify the correct sequence of steps.
A. 4, 1, 3, 2
B. 3, 2, 1, 4
C. 3, 2, 4, 1
D. 2, 3, 4,1
Answer: D
Explanation:
Step 1 (2). Seed column usage
Oracle must observe a representative workload, in order to determine the appropriate column groups. Using the new procedure DBMS_STATS.SEED_COL_USAGE, you tell
Oracle howlong it should observe the workload.
Step 2: (3) You don't need to execute all of the queries in your work during this window.
You can simply run explain plan for some of your longer running queries to ensure column group information is recorded for thesequeries.
Step 3. (1) Create the column groups
At this point you can get Oracle to automatically create the column groups for each of the tables based on the usage information captured during the monitoring window. You simply have to call the DBMS_STATS.CREATE_EXTENDED_STATS function for each table.This function requires just two arguments, the schema name and the table name. From then on, statistics will be maintained for each column group whenever statistics are gathered on the table.
Note:
* DBMS_STATS.REPORT_COL_USAGE reports column usage information and records all the SQL operations the database has processed for a given object.
* The Oracle SQL optimizer has always been ignorant of the implied relationships between data columns within the same table.While the optimizer has traditionally analyzed the distribution of values within a column, he does not collect value-based relationships between columns.
* Creating extended statisticsHere are the steps to create extended statistics for related table columns withdbms_stats.created_extended_stats:
1 - The first step is to create column histograms for the related columns.2 - Next, we run dbms_stats.create_extended_stats to relate the columns together.
Unlike a traditional procedure that is invoked via anexecute ("exec") statement, Oracle extended statistics are created via a select statement.

NEW QUESTION: 4

ALTER SYSTEM SET enable_ddl_logging=FALSE;

A. Option B
B. Option A
C. Option D
D. Option C
Answer: B
Explanation:
ENABLE_DDL_LOGGING enables or disables the writing of a subset of data definition language (DDL) statements to a DDL alert log.
The DDL log is a file that has the same format and basic behavior as the alert log, but it only contains the DDL statements issued by the database. The DDL log is created only for the RDBMS component and only if the ENABLE_DDL_LOGGING initialization parameter is set to true. When this parameter is set to false, DDL statements are not included in any log.