{"id":49492,"date":"2024-04-15T22:56:31","date_gmt":"2024-04-15T22:56:31","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=49492"},"modified":"2024-04-15T22:56:31","modified_gmt":"2024-04-15T22:56:31","slug":"point-out-the-wrong-statement-21","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/point-out-the-wrong-statement-21\/","title":{"rendered":"Point out the wrong statement."},"content":{"rendered":"<p>[amp_mcq option1=&#8221;hdf5 can be used to reading\/writing from disc in Python&#8221; option2=&#8221;rhdf5 is an interface for hdf5 format&#8221; option3=&#8221;maximum size of an HDF5 dataset is fixed when it is created&#8221; option4=&#8221;all of the mentioned&#8221; correct=&#8221;option3&#8243;]<!--more--><\/p>\n<p>The correct answer is: C. maximum size of an HDF5 dataset is fixed when it is created.<\/p>\n<p>Hdf5 is a file format that can be used to store and manage data. It is a hierarchical format, which means that data can be organized in a tree-like structure. This makes it well-suited for storing large amounts of data.<\/p>\n<p>Rhdf5 is an interface for the hdf5 format. It is a Python package that provides a high-level API for reading and writing hdf5 files.<\/p>\n<p>The maximum size of an hdf5 dataset is not fixed when it is created. The size of a dataset can be increased or decreased at any time.<\/p>\n<p>Here is a brief explanation of each option:<\/p>\n<ul>\n<li>A. hdf5 can be used to reading\/writing from disc in Python. This is correct. Hdf5 is a file format that can be used to store and manage data. It is a hierarchical format, which means that data can be organized in a tree-like structure. This makes it well-suited for storing large amounts of data. Hdf5 can be used to read and write data from and to disk in Python.<\/li>\n<li>B. rhdf5 is an interface for hdf5 format. This is correct. Rhdf5 is an interface for the hdf5 format. It is a Python package that provides a high-level API for reading and writing hdf5 files.<\/li>\n<li>C. maximum size of an HDF5 dataset is fixed when it is created. This is incorrect. The maximum size of an hdf5 dataset is not fixed when it is created. The size of a dataset can be increased or decreased at any time.<\/li>\n<li>D. all of the mentioned. This is incorrect. Only option C is incorrect.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;hdf5 can be used to reading\/writing from disc in Python&#8221; option2=&#8221;rhdf5 is an interface for hdf5 format&#8221; option3=&#8221;maximum size of an HDF5 dataset is fixed when it is created&#8221; option4=&#8221;all of the mentioned&#8221; correct=&#8221;option3&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[735],"tags":[],"class_list":["post-49492","post","type-post","status-publish","format-standard","hentry","category-data-collection-and-preprocessing","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Point out the wrong statement.<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/point-out-the-wrong-statement-21\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Point out the wrong statement.\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;hdf5 can be used to reading\/writing from disc in Python&#8221; 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