You attempt to insert today's date (which happens to be September 2, 2022) using the built-in function sysdate to put a value into an attribute of a table on the class server with an Oracle built in data type of date. What is actually stored? Choose the best answer. a) Values corresponding to the date of September 2, 2022 and a time value corresponding to 5 minutes and 13 seconds after 11 AM in all appropriate datetime fields of the 7-field object that is available for every Oracle field typed as date (where the insert action took place at 11:05:13 AM server time. b) Nothing, the insert throws an exception that says something about a non-numeric character found where a numeric was expected. c) Nothing, the insert throws an exception that says something else. d) There is an error message because the built-in function is system_date. e) values corresponding to the date of September 2, 2022 in 3 of 7 available datetime fields of the 7-field object that is available for every Oracle field typed as date, nothing in the other available fields

You attempt to insert today's date (which happens to be September 2, 2022) using the built-in function sysdate to put a value into an attribute of a table on the class server with an Oracle built in data type of date. What is actually stored? Choose the best answer. a) Values corresponding to the date of September 2, 2022 and a time value corresponding to 5 minutes and 13 seconds after 11 AM in all appropriate datetime fields of the 7-field object that is available for every Oracle field typed as date (where the insert action took place at 11:05:13 AM server time. b) Nothing, the insert throws an exception that says something about a non-numeric character found where a numeric was expected. c) Nothing, the insert throws an exception that says something else. d) There is an error message because the built-in function is system_date. e) values corresponding to the date of September 2, 2022 in 3 of 7 available datetime fields of the 7-field object that is available for every Oracle field typed as date, nothing in the other available fields

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Complete the docstring below, and use the helper functions attached if necessary: def check_syllable_counts(poem_lines: POEM, description: POETRY_FORM_DESCRIPTION, word_to_phonemes: PRONUNCIATION_DICT) \ -> List[POEM_LINE]: """Return a list of lines from poem_lines that do NOT have the right number of syllables as specified by the poetry form description, according to the pronunciation dictionary word_to_phonemes. If all lines have the right number of syllables, return the empty list. Precondition: len(poem_lines) == len(description[0]) >>> poem_lines = ['The first line leads off,', ... 'With a gap before the next.', 'Then the poem ends.'] >>> description = ((5, 5, 4), ('*', '*', '*')) >>> word_to_phonemes = {'NEXT': ('N', 'EH1', 'K', 'S', 'T'), ... 'GAP': ('G', 'AE1', 'P'), ... 'BEFORE': ('B', 'IH0', 'F',…
Campground reservations, part 3: Available campsites Excellent job! This next one's a little more challenging. Which campsites are available to reserve? We want to be able to quickly find which campsites are available. Can you help us? Given a campgrounds array, return an array with the campsite numbers of all currently unreserved (isReserved === false) campsites. Call the function availableCampsites. Dataset As a reminder, our data looks like this. It's an array with a bunch of campsite objects in it. Here is a small subset of the data to give you an idea: const campgrounds = [ { number: 1, view: "ocean", partySize: 8, isReserved: false }, { number: 5, view: "ocean", partySize: 4, isReserved: false }, { number: 12, view: "ocean", partySize: 4, isReserved: true }, { number: 18, view: "forest", partySize: 4, isReserved: false }, { number: 23, view: "forest", partySize: 4, isReserved: true }, ];
1. The following code will cause error during execution. What is the reason? import pandas as pd data = pd. Series (range(10)) data.index [5)='five' A. arange () instead of range ( ) should be used. B. pandas Index does not support mutable operations. C. index 5 is out of bounds for axis 0. D. The Series object has no attribute 'index'. 2. Which of the following statement(s) regarding the Python library pandas is/are сorrect? (1) A DataFrame represents a rectangular table of data and contains an ordered collection of columns that are of same value data types. (2) A Series is a n-dimensional array-like object containing sequences of values. (3) pandas automatically aligns two Series object by index label in arithmetic operations. А. (1) only В. (3) only C. (1) & (3) D. All of the above
/* Created with SQL Script Builder v.1.5 */ /* Type of SQL : SQL Server */ CREATE TABLE EMPLOYEE ( EMP_CODE int, EMP_TITLE varchar(4), EMP_LNAME varchar(15), EMP_FNAME varchar(15), EMP_INITIAL varchar(1), EMP_DOB datetime, JOB_CODE varchar(5), STORE_CODE int ); INSERT INTO EMPLOYEE VALUES('1','Mr.','Williamson','John','W','5/21/1964','SEC','3'); INSERT INTO EMPLOYEE VALUES('2','Ms.','Ratula','Nancy','','2/9/1969','MGR','2'); INSERT INTO EMPLOYEE VALUES('3','Ms.','Greenboro','Lottie','R','10/2/1961','GEN','4'); INSERT INTO EMPLOYEE VALUES('4','Mrs.','Rumpersfro','Jennie','S','6/1/1971','GEN','5'); INSERT INTO EMPLOYEE VALUES('5','Mr.','Smith','Robert','L','11/23/1959','GEN','3'); INSERT INTO EMPLOYEE VALUES('6','Mr.','Renselaer','Cary','A','12/25/1965','GEN','1'); INSERT INTO EMPLOYEE VALUES('7','Mr.','Ogallo','Roberto','S','7/31/1962','MGR','3'); INSERT INTO EMPLOYEE VALUES('8','Ms.','Johnsson','Elizabeth','I','9/10/1968','SEC','1'); INSERT INTO EMPLOYEE…
WRITE THE CODE IN PLSQL 1.You have a table AUDITORIUMS with nested table which represents the classes that take place in that auditorium: a. Auditorium number b. Class CLASS_TYPE_TABLE c. Max people allowed to be in auditorium Check, if class with parameters ("Databases", DSP101) is registered in auditorium 405!
You are writing an application for the 911 dispacher office for a city. You need a data structure that will allow you to store all the residents' phone numbers and addresses. The common operations performed on the set of objects are: lookup an address based on the calling phone number. The client wants the program to be as efficient as possible. Which of the following data structures should you use in your design? Question 43 options: Hash table Binary search tree Heap Sorted linked List
write in c++Write a program that would allow the user to interact with a part of the IMDB movie database. Each movie has a unique ID, name, release date, and user rating. You're given a file containing this information (see movies.txt in "Additional files" section). The first 4 rows of this file correspond to the first movie, then after an empty line 4 rows contain information about the second movie and so forth. Format of these fields: ID is an integer Name is a string that can contain spaces Release date is a string in yyyy/mm/dd format Rating is a fractional number The number of movies is not provided and does not need to be computed. But the file can't contain more than 100 movies. Then, it should offer the user a menu with the following options: Display movies sorted by id Display movies sorted by release date, then rating Lookup a release date given a name Lookup a movie by id Quit the Program The program should perform the selected operation and then re-display the menu. For…
this is the information that has to be hard-coded: # hard-coded calls jim = User(first_name='Jim', last_name='Bob', user_id=1000, last_login='June 12, 1998', password='password123') jim.describe_user() jim.greet_user() joe = User('Joe', 'Bob', 1001, 'July 4, 2001', 'babygirl') joe.greet_user() joe.describe_user()
/* Created with SQL Script Builder v.1.5 */ /* Type of SQL : SQL Server */ CREATE TABLE EMPLOYEE ( EMP_CODE int, EMP_TITLE varchar(4), EMP_LNAME varchar(15), EMP_FNAME varchar(15), EMP_INITIAL varchar(1), EMP_DOB datetime, JOB_CODE varchar(5), STORE_CODE int ); INSERT INTO EMPLOYEE VALUES('1','Mr.','Williamson','John','W','5/21/1964','SEC','3'); INSERT INTO EMPLOYEE VALUES('2','Ms.','Ratula','Nancy','','2/9/1969','MGR','2'); INSERT INTO EMPLOYEE VALUES('3','Ms.','Greenboro','Lottie','R','10/2/1961','GEN','4'); INSERT INTO EMPLOYEE VALUES('4','Mrs.','Rumpersfro','Jennie','S','6/1/1971','GEN','5'); INSERT INTO EMPLOYEE VALUES('5','Mr.','Smith','Robert','L','11/23/1959','GEN','3'); INSERT INTO EMPLOYEE VALUES('6','Mr.','Renselaer','Cary','A','12/25/1965','GEN','1'); INSERT INTO EMPLOYEE VALUES('7','Mr.','Ogallo','Roberto','S','7/31/1962','MGR','3'); INSERT INTO EMPLOYEE VALUES('8','Ms.','Johnsson','Elizabeth','I','9/10/1968','SEC','1'); INSERT INTO EMPLOYEE…
Translate the following pandas statement in Python to a SQL query so that it can be executed on the SQL database. dfdata[(10*dfdata['cases']>dfdata['cases'])&(dfdata['date']=='2020-10-10')]['county']
Complete the Python program to create a Horse table, insert one row, and display the row. The main program calls four functions: create_connection() creates a connection to the database. create_table() creates the Horse table. insert_horse() inserts one row into Horse. select_all_horses() outputs all Horse rows. Complete all four functions. Function parameters are described in the template. Do not modify the main program. The Horse table should have five columns, with the following names, data types, constraints, and values: Name Data type Constraints Value Id integer primary key, not null 1 Name text 'Babe' Breed text 'Quarter horse' Height double 15.3 BirthDate text '2015-02-10' The program output should be: All horses: (1, 'Babe', 'Quarter Horse', 15.3, '2015-02-10')
def get_nearest_station(my_latitude: float, my_longitude: float, stations: List['Station']) -> int: "''Return the id of the station from stations that is nearest to the location given by my_latidute and my_longitude. In the case of a tie, return the ID of the last station in stations with that distance. Preconditions: len(stations) > 1 » get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS) 7571 » get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS) 7486